Face Generation

In this project, you'll use generative adversarial networks to generate new images of faces.

Get the Data

You'll be using two datasets in this project:

  • MNIST
  • CelebA

Since the celebA dataset is complex and you're doing GANs in a project for the first time, we want you to test your neural network on MNIST before CelebA. Running the GANs on MNIST will allow you to see how well your model trains sooner.

If you're using FloydHub, set data_dir to "/input" and use the FloydHub data ID "R5KrjnANiKVhLWAkpXhNBe".

In [1]:
data_dir = './data'

# FloydHub - Use with data ID "R5KrjnANiKVhLWAkpXhNBe"
#data_dir = '/input'


"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import helper

helper.download_extract('mnist', data_dir)
helper.download_extract('celeba', data_dir)
Found mnist Data
Found celeba Data

Explore the Data

MNIST

As you're aware, the MNIST dataset contains images of handwritten digits. You can view the first number of examples by changing show_n_images.

In [2]:
show_n_images = 25

"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
%matplotlib inline
import os
from glob import glob
from matplotlib import pyplot

mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'mnist/*.jpg'))[:show_n_images], 28, 28, 'L')
pyplot.imshow(helper.images_square_grid(mnist_images, 'L'), cmap='gray')
Out[2]:
<matplotlib.image.AxesImage at 0xdfe1a90>

CelebA

The CelebFaces Attributes Dataset (CelebA) dataset contains over 200,000 celebrity images with annotations. Since you're going to be generating faces, you won't need the annotations. You can view the first number of examples by changing show_n_images.

In [3]:
show_n_images = 25

"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'img_align_celeba/*.jpg'))[:show_n_images], 28, 28, 'RGB')
pyplot.imshow(helper.images_square_grid(mnist_images, 'RGB'))
Out[3]:
<matplotlib.image.AxesImage at 0xe0a4710>

Preprocess the Data

Since the project's main focus is on building the GANs, we'll preprocess the data for you. The values of the MNIST and CelebA dataset will be in the range of -0.5 to 0.5 of 28x28 dimensional images. The CelebA images will be cropped to remove parts of the image that don't include a face, then resized down to 28x28.

The MNIST images are black and white images with a single color channel while the CelebA images have 3 color channels (RGB color channel).

Build the Neural Network

You'll build the components necessary to build a GANs by implementing the following functions below:

  • model_inputs
  • discriminator
  • generator
  • model_loss
  • model_opt
  • train

Check the Version of TensorFlow and Access to GPU

This will check to make sure you have the correct version of TensorFlow and access to a GPU

In [4]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
from distutils.version import LooseVersion
import warnings
import tensorflow as tf

# Check TensorFlow Version
assert LooseVersion(tf.__version__) >= LooseVersion('1.0'), 'Please use TensorFlow version 1.0 or newer.  You are using {}'.format(tf.__version__)
print('TensorFlow Version: {}'.format(tf.__version__))

# Check for a GPU
if not tf.test.gpu_device_name():
    warnings.warn('No GPU found. Please use a GPU to train your neural network.')
else:
    print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))
TensorFlow Version: 1.4.0
Default GPU Device: /device:GPU:0

Input

Implement the model_inputs function to create TF Placeholders for the Neural Network. It should create the following placeholders:

  • Real input images placeholder with rank 4 using image_width, image_height, and image_channels.
  • Z input placeholder with rank 2 using z_dim.
  • Learning rate placeholder with rank 0.

Return the placeholders in the following the tuple (tensor of real input images, tensor of z data)

In [5]:
import problem_unittests as tests
tf.reset_default_graph()
def model_inputs(image_width, image_height, image_channels, z_dim):
    """
    Create the model inputs
    :param image_width: The input image width
    :param image_height: The input image height
    :param image_channels: The number of image channels
    :param z_dim: The dimension of Z
    :return: Tuple of (tensor of real input images, tensor of z data, learning rate)
    """
    # TODO: Implement Function
    input_real = tf.placeholder(dtype=tf.float32,shape=(None,image_width,image_height,image_channels),name='input_real')
    input_z = tf.placeholder(dtype=tf.float32,shape=(None,z_dim),name='input_z')
    learning_rate = tf.placeholder(dtype=tf.float32,shape=None,name='learning_rate')
    
    return input_real,input_z,learning_rate


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_inputs(model_inputs)
Tests Passed

Discriminator

Implement discriminator to create a discriminator neural network that discriminates on images. This function should be able to reuse the variables in the neural network. Use tf.variable_scope with a scope name of "discriminator" to allow the variables to be reused. The function should return a tuple of (tensor output of the discriminator, tensor logits of the discriminator).

In [6]:
def discriminator(images, reuse=False):
    """
    Create the discriminator network
    :param images: Tensor of input image(s)
    :param reuse: Boolean if the weights should be reused
    :return: Tuple of (tensor output of the discriminator, tensor logits of the discriminator)
    """
    # TODO: Implement Function
    with tf.variable_scope('discriminator',reuse=reuse):
        alpha = 0.2
        #28x28x3
        x1 = tf.layers.conv2d(images,64,5,strides=2,padding='same')
        #x1 = tf.maximum(x1*alpha,x1)
        x1 = tf.sigmoid(x1)*x1
        #14x14x64
        
        x2 = tf.layers.conv2d(x1,128,5,strides=2,padding='same')
        x2 = tf.layers.batch_normalization(x2,training=True)
        #x2 = tf.maximum(x2*alpha,x2)
        x2 = tf.sigmoid(x2)*x2
        #7x7x128
        
        x3 = tf.layers.conv2d(x2,256,5,strides=2,padding='same')
        x3 = tf.layers.batch_normalization(x3,training=True)
        #x3 = tf.maximum(x3*alpha,x3)
        x3 = tf.sigmoid(x3)*x3
        #4x4x256
        
        flat = tf.reshape(x3,(-1,4*4*512))
        logits = tf.layers.dense(flat,1)
        output = tf.sigmoid(logits)
        
    return output,logits


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_discriminator(discriminator, tf)
Tests Passed

Generator

Implement generator to generate an image using z. This function should be able to reuse the variables in the neural network. Use tf.variable_scope with a scope name of "generator" to allow the variables to be reused. The function should return the generated 28 x 28 x out_channel_dim images.

In [8]:
def generator(z, out_channel_dim, is_train=True):
    """
    Create the generator network
    :param z: Input z
    :param out_channel_dim: The number of channels in the output image
    :param is_train: Boolean if generator is being used for training
    :return: The tensor output of the generator
    """
    with tf.variable_scope('generator',reuse=not is_train):
        # TODO: Implement Function
        alpha = 0.2
        x1 = tf.layers.dense(z,4*4*512)
        #x1 = tf.layers.dropout(x1,0.3,training=is_train)
        x1 = tf.reshape(x1,(-1,4,4,512))
        x1 = tf.layers.batch_normalization(x1,training=is_train)
        #x1 = tf.maximum(x1*alpha,x1)
        x1 = tf.sigmoid(x1)*x1
        #4x4X512
        
        x2 = tf.layers.conv2d_transpose(x1,256,4,strides=1,padding='valid')
        x2 = tf.layers.batch_normalization(x2,training=is_train)
        #x2 = tf.maximum(x2*alpha,x2)
        x2 = tf.sigmoid(x2)*x2
        #7x7x256
        
        x3 = tf.layers.conv2d_transpose(x2,128,5,strides=2,padding='same')
        x3 = tf.layers.batch_normalization(x3,training=is_train)
        #x3 = tf.maximum(x3*alpha,x3)
        x3 = tf.sigmoid(x3)*x3
        #14x14x128

        logits = tf.layers.conv2d_transpose(x3,filters=out_channel_dim,kernel_size=5,strides=2,padding='same')
        out = tf.tanh(logits)
        #28x28x3
        return out


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_generator(generator, tf)
Tests Passed

Loss

Implement model_loss to build the GANs for training and calculate the loss. The function should return a tuple of (discriminator loss, generator loss). Use the following functions you implemented:

  • discriminator(images, reuse=False)
  • generator(z, out_channel_dim, is_train=True)
In [9]:
def model_loss(input_real, input_z, out_channel_dim):
    """
    Get the loss for the discriminator and generator
    :param input_real: Images from the real dataset
    :param input_z: Z input
    :param out_channel_dim: The number of channels in the output image
    :return: A tuple of (discriminator loss, generator loss)
    """
    # TODO: Implement Function
    smooth = 0.1
    g_model = generator(input_z,out_channel_dim)
    d_model_real, d_logit_real = discriminator(input_real)
    d_model_fake, d_logit_fake = discriminator(g_model,reuse=True)
    
    d_loss_real = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logit_real,\
                                                                         labels=tf.ones_like(d_model_real)*(1-smooth)))
    d_loss_fake = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logit_fake,\
                                                                         labels=tf.zeros_like(d_model_fake)))
    g_loss = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logit_fake,\
                                                     labels=tf.ones_like(d_model_fake)))
    d_loss = d_loss_real+d_loss_fake
    
    return d_loss,g_loss


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_loss(model_loss)
Tests Passed

Optimization

Implement model_opt to create the optimization operations for the GANs. Use tf.trainable_variables to get all the trainable variables. Filter the variables with names that are in the discriminator and generator scope names. The function should return a tuple of (discriminator training operation, generator training operation).

In [10]:
def model_opt(d_loss, g_loss, learning_rate, beta1):
    """
    Get optimization operations
    :param d_loss: Discriminator loss Tensor
    :param g_loss: Generator loss Tensor
    :param learning_rate: Learning Rate Placeholder
    :param beta1: The exponential decay rate for the 1st moment in the optimizer
    :return: A tuple of (discriminator training operation, generator training operation)
    """
    # TODO: Implement Function
    t_var = tf.trainable_variables()
    g_var = [var for var in t_var if var.name.startswith('generator')]
    d_var = [var for var in t_var if var.name.startswith('discriminator')]
    
    # Optimize
    with tf.control_dependencies(tf.get_collection(tf.GraphKeys.UPDATE_OPS)):
        d_train_opt = tf.train.AdamOptimizer(learning_rate,beta1=beta1).minimize(d_loss,var_list=d_var)
        g_train_opt = tf.train.AdamOptimizer(learning_rate,beta1=beta1).minimize(g_loss,var_list=g_var)
    return (d_train_opt,g_train_opt)


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_opt(model_opt, tf)
Tests Passed

Neural Network Training

Show Output

Use this function to show the current output of the generator during training. It will help you determine how well the GANs is training.

In [11]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import numpy as np

def show_generator_output(sess, n_images, input_z, out_channel_dim, image_mode):
    """
    Show example output for the generator
    :param sess: TensorFlow session
    :param n_images: Number of Images to display
    :param input_z: Input Z Tensor
    :param out_channel_dim: The number of channels in the output image
    :param image_mode: The mode to use for images ("RGB" or "L")
    """
    cmap = None if image_mode == 'RGB' else 'gray'
    z_dim = input_z.get_shape().as_list()[-1]
    example_z = np.random.uniform(-1, 1, size=[n_images, z_dim])

    samples = sess.run(
        generator(input_z, out_channel_dim, False),
        feed_dict={input_z: example_z})

    images_grid = helper.images_square_grid(samples, image_mode)
    pyplot.imshow(images_grid, cmap=cmap)
    pyplot.show()

Train

Implement train to build and train the GANs. Use the following functions you implemented:

  • model_inputs(image_width, image_height, image_channels, z_dim)
  • model_loss(input_real, input_z, out_channel_dim)
  • model_opt(d_loss, g_loss, learning_rate, beta1)

Use the show_generator_output to show generator output while you train. Running show_generator_output for every batch will drastically increase training time and increase the size of the notebook. It's recommended to print the generator output every 100 batches.

In [12]:
def train(epoch_count, batch_size, z_dim, learning_rate, beta1, get_batches, data_shape, data_image_mode):
    """
    Train the GAN
    :param epoch_count: Number of epochs
    :param batch_size: Batch Size
    :param z_dim: Z dimension
    :param learning_rate: Learning Rate
    :param beta1: The exponential decay rate for the 1st moment in the optimizer
    :param get_batches: Function to get batches
    :param data_shape: Shape of the data
    :param data_image_mode: The image mode to use for images ("RGB" or "L")
    """
    # TODO: Build Model
    import numpy as np
    input_real,input_z,learning_rate_ = model_inputs(data_shape[1],data_shape[2],data_shape[3],z_dim)
    d_loss, g_loss = model_loss(input_real,input_z,data_shape[3])
    #print(data_shape[3])
    d_opt, g_opt = model_opt(d_loss,g_loss,learning_rate_,beta1)
    
    saver = tf.train.Saver()
    sample,losses = [],[]
    steps = 0
        
    with tf.Session() as sess:
        sess.run(tf.global_variables_initializer())
        for epoch_i in range(epoch_count):
            for batch_images in get_batches(batch_size):
                # TODO: Train Model
                steps += 1
                batch_images *= 2
                batch_z = np.random.uniform(-1,1,size=[batch_size,z_dim])
                
                _ = sess.run(d_opt,feed_dict={input_real:batch_images,input_z:batch_z,learning_rate_:learning_rate})
                _ = sess.run(g_opt,feed_dict={input_z:batch_z,input_real:batch_images,learning_rate_:learning_rate})
                
                if steps % 10 == 0:
                    train_loss_d = d_loss.eval({input_z:batch_z,input_real:batch_images})
                    train_loss_g = g_loss.eval({input_z:batch_z})
                
                    print("Epoch {}/{}...".format(epoch_i+1,epoch_count),
                          "Step {}".format(steps),
                          "Discriminator Loss: {:.4f}...".format(train_loss_d),
                          "Generator Loss: {:.4f}".format(train_loss_g))
                    # Save losses to view after training
                    losses.append((train_loss_d, train_loss_g))
                
                if steps % 100 == 0:
                    show_generator_output(sess=sess,n_images=25,input_z=input_z,out_channel_dim=data_shape[3],image_mode=data_image_mode)
                    saver.save(sess, './checkpoints/generator.ckpt')

MNIST

Test your GANs architecture on MNIST. After 2 epochs, the GANs should be able to generate images that look like handwritten digits. Make sure the loss of the generator is lower than the loss of the discriminator or close to 0.

In [13]:
batch_size = 32
z_dim = 128
learning_rate = 0.002
beta1 = 0.5
tf.reset_default_graph()

"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 2

mnist_dataset = helper.Dataset('mnist', glob(os.path.join(data_dir, 'mnist/*.jpg')))
with tf.Graph().as_default():
    train(epochs, batch_size, z_dim, learning_rate, beta1, mnist_dataset.get_batches,
          mnist_dataset.shape, mnist_dataset.image_mode)
Epoch 1/2... Step 10 Discriminator Loss: 0.5026... Generator Loss: 8.1932
Epoch 1/2... Step 20 Discriminator Loss: 0.7072... Generator Loss: 4.0279
Epoch 1/2... Step 30 Discriminator Loss: 1.4828... Generator Loss: 1.9699
Epoch 1/2... Step 40 Discriminator Loss: 1.1145... Generator Loss: 1.2079
Epoch 1/2... Step 50 Discriminator Loss: 0.5734... Generator Loss: 4.8471
Epoch 1/2... Step 60 Discriminator Loss: 1.0927... Generator Loss: 0.9001
Epoch 1/2... Step 70 Discriminator Loss: 1.0450... Generator Loss: 1.0427
Epoch 1/2... Step 80 Discriminator Loss: 1.8515... Generator Loss: 0.3620
Epoch 1/2... Step 90 Discriminator Loss: 2.7335... Generator Loss: 0.1521
Epoch 1/2... Step 100 Discriminator Loss: 0.6590... Generator Loss: 2.0644
Epoch 1/2... Step 110 Discriminator Loss: 0.9546... Generator Loss: 1.6538
Epoch 1/2... Step 120 Discriminator Loss: 1.0338... Generator Loss: 1.7827
Epoch 1/2... Step 130 Discriminator Loss: 1.7567... Generator Loss: 4.8673
Epoch 1/2... Step 140 Discriminator Loss: 1.7790... Generator Loss: 1.0697
Epoch 1/2... Step 150 Discriminator Loss: 1.2986... Generator Loss: 0.6108
Epoch 1/2... Step 160 Discriminator Loss: 2.9338... Generator Loss: 0.1355
Epoch 1/2... Step 170 Discriminator Loss: 3.2583... Generator Loss: 0.1190
Epoch 1/2... Step 180 Discriminator Loss: 1.3502... Generator Loss: 0.7639
Epoch 1/2... Step 190 Discriminator Loss: 1.2027... Generator Loss: 1.8748
Epoch 1/2... Step 200 Discriminator Loss: 1.0306... Generator Loss: 2.2359
Epoch 1/2... Step 210 Discriminator Loss: 0.7553... Generator Loss: 1.9253
Epoch 1/2... Step 220 Discriminator Loss: 1.7131... Generator Loss: 2.7761
Epoch 1/2... Step 230 Discriminator Loss: 0.9688... Generator Loss: 1.2494
Epoch 1/2... Step 240 Discriminator Loss: 2.1524... Generator Loss: 0.2502
Epoch 1/2... Step 250 Discriminator Loss: 1.1844... Generator Loss: 1.0071
Epoch 1/2... Step 260 Discriminator Loss: 1.2784... Generator Loss: 1.3785
Epoch 1/2... Step 270 Discriminator Loss: 1.0288... Generator Loss: 2.1213
Epoch 1/2... Step 280 Discriminator Loss: 1.3564... Generator Loss: 0.5849
Epoch 1/2... Step 290 Discriminator Loss: 2.3990... Generator Loss: 0.1888
Epoch 1/2... Step 300 Discriminator Loss: 1.6569... Generator Loss: 0.4289
Epoch 1/2... Step 310 Discriminator Loss: 1.5389... Generator Loss: 0.5690
Epoch 1/2... Step 320 Discriminator Loss: 1.8068... Generator Loss: 2.3819
Epoch 1/2... Step 330 Discriminator Loss: 1.2564... Generator Loss: 1.1796
Epoch 1/2... Step 340 Discriminator Loss: 1.1989... Generator Loss: 0.7802
Epoch 1/2... Step 350 Discriminator Loss: 2.1532... Generator Loss: 0.3587
Epoch 1/2... Step 360 Discriminator Loss: 1.5092... Generator Loss: 0.8937
Epoch 1/2... Step 370 Discriminator Loss: 1.0153... Generator Loss: 0.8607
Epoch 1/2... Step 380 Discriminator Loss: 1.2210... Generator Loss: 0.7285
Epoch 1/2... Step 390 Discriminator Loss: 1.4891... Generator Loss: 0.4809
Epoch 1/2... Step 400 Discriminator Loss: 1.3506... Generator Loss: 0.6725
Epoch 1/2... Step 410 Discriminator Loss: 1.7025... Generator Loss: 0.3947
Epoch 1/2... Step 420 Discriminator Loss: 1.3140... Generator Loss: 0.8013
Epoch 1/2... Step 430 Discriminator Loss: 1.1196... Generator Loss: 1.2421
Epoch 1/2... Step 440 Discriminator Loss: 1.9399... Generator Loss: 0.2760
Epoch 1/2... Step 450 Discriminator Loss: 1.2282... Generator Loss: 0.7010
Epoch 1/2... Step 460 Discriminator Loss: 1.0532... Generator Loss: 1.3385
Epoch 1/2... Step 470 Discriminator Loss: 1.1916... Generator Loss: 0.7233
Epoch 1/2... Step 480 Discriminator Loss: 1.8172... Generator Loss: 0.6443
Epoch 1/2... Step 490 Discriminator Loss: 1.3071... Generator Loss: 1.5461
Epoch 1/2... Step 500 Discriminator Loss: 1.3564... Generator Loss: 0.6282
Epoch 1/2... Step 510 Discriminator Loss: 1.3471... Generator Loss: 0.6479
Epoch 1/2... Step 520 Discriminator Loss: 1.1281... Generator Loss: 1.4467
Epoch 1/2... Step 530 Discriminator Loss: 1.3322... Generator Loss: 0.6838
Epoch 1/2... Step 540 Discriminator Loss: 1.2751... Generator Loss: 0.9415
Epoch 1/2... Step 550 Discriminator Loss: 0.9722... Generator Loss: 0.9888
Epoch 1/2... Step 560 Discriminator Loss: 1.3335... Generator Loss: 1.4558
Epoch 1/2... Step 570 Discriminator Loss: 1.1794... Generator Loss: 1.1594
Epoch 1/2... Step 580 Discriminator Loss: 1.4244... Generator Loss: 0.5718
Epoch 1/2... Step 590 Discriminator Loss: 1.0226... Generator Loss: 1.2317
Epoch 1/2... Step 600 Discriminator Loss: 0.9546... Generator Loss: 1.6608
Epoch 1/2... Step 610 Discriminator Loss: 1.1677... Generator Loss: 0.7559
Epoch 1/2... Step 620 Discriminator Loss: 1.6272... Generator Loss: 0.3872
Epoch 1/2... Step 630 Discriminator Loss: 1.4287... Generator Loss: 0.6078
Epoch 1/2... Step 640 Discriminator Loss: 1.1913... Generator Loss: 1.3262
Epoch 1/2... Step 650 Discriminator Loss: 0.8900... Generator Loss: 1.7929
Epoch 1/2... Step 660 Discriminator Loss: 1.1701... Generator Loss: 0.7351
Epoch 1/2... Step 670 Discriminator Loss: 1.1216... Generator Loss: 0.9455
Epoch 1/2... Step 680 Discriminator Loss: 1.1465... Generator Loss: 1.5771
Epoch 1/2... Step 690 Discriminator Loss: 1.5828... Generator Loss: 0.4753
Epoch 1/2... Step 700 Discriminator Loss: 1.1907... Generator Loss: 0.8973
Epoch 1/2... Step 710 Discriminator Loss: 1.8811... Generator Loss: 0.4316
Epoch 1/2... Step 720 Discriminator Loss: 1.3745... Generator Loss: 0.6119
Epoch 1/2... Step 730 Discriminator Loss: 1.6695... Generator Loss: 0.3737
Epoch 1/2... Step 740 Discriminator Loss: 1.1924... Generator Loss: 0.9627
Epoch 1/2... Step 750 Discriminator Loss: 1.0951... Generator Loss: 1.4145
Epoch 1/2... Step 760 Discriminator Loss: 0.8146... Generator Loss: 1.5838
Epoch 1/2... Step 770 Discriminator Loss: 1.0730... Generator Loss: 0.9804
Epoch 1/2... Step 780 Discriminator Loss: 1.2816... Generator Loss: 0.7420
Epoch 1/2... Step 790 Discriminator Loss: 1.0093... Generator Loss: 1.0835
Epoch 1/2... Step 800 Discriminator Loss: 1.8424... Generator Loss: 0.3146
Epoch 1/2... Step 810 Discriminator Loss: 1.0802... Generator Loss: 1.1338
Epoch 1/2... Step 820 Discriminator Loss: 1.1890... Generator Loss: 0.6310
Epoch 1/2... Step 830 Discriminator Loss: 0.8146... Generator Loss: 1.4653
Epoch 1/2... Step 840 Discriminator Loss: 1.1411... Generator Loss: 1.4107
Epoch 1/2... Step 850 Discriminator Loss: 1.2259... Generator Loss: 1.0162
Epoch 1/2... Step 860 Discriminator Loss: 1.1330... Generator Loss: 1.1569
Epoch 1/2... Step 870 Discriminator Loss: 1.3335... Generator Loss: 0.6279
Epoch 1/2... Step 880 Discriminator Loss: 1.7131... Generator Loss: 0.3549
Epoch 1/2... Step 890 Discriminator Loss: 1.2356... Generator Loss: 0.8039
Epoch 1/2... Step 900 Discriminator Loss: 1.0506... Generator Loss: 1.1083
Epoch 1/2... Step 910 Discriminator Loss: 1.0858... Generator Loss: 1.2009
Epoch 1/2... Step 920 Discriminator Loss: 1.0577... Generator Loss: 0.9013
Epoch 1/2... Step 930 Discriminator Loss: 1.3744... Generator Loss: 0.5881
Epoch 1/2... Step 940 Discriminator Loss: 1.1883... Generator Loss: 1.1247
Epoch 1/2... Step 950 Discriminator Loss: 1.2962... Generator Loss: 1.0344
Epoch 1/2... Step 960 Discriminator Loss: 1.4765... Generator Loss: 0.6135
Epoch 1/2... Step 970 Discriminator Loss: 1.1977... Generator Loss: 0.7843
Epoch 1/2... Step 980 Discriminator Loss: 1.1958... Generator Loss: 0.7765
Epoch 1/2... Step 990 Discriminator Loss: 1.2317... Generator Loss: 0.7645
Epoch 1/2... Step 1000 Discriminator Loss: 0.9897... Generator Loss: 1.1869
Epoch 1/2... Step 1010 Discriminator Loss: 1.1538... Generator Loss: 0.7910
Epoch 1/2... Step 1020 Discriminator Loss: 1.3695... Generator Loss: 1.0124
Epoch 1/2... Step 1030 Discriminator Loss: 1.0003... Generator Loss: 0.9636
Epoch 1/2... Step 1040 Discriminator Loss: 1.2340... Generator Loss: 0.9362
Epoch 1/2... Step 1050 Discriminator Loss: 1.2640... Generator Loss: 0.6305
Epoch 1/2... Step 1060 Discriminator Loss: 1.1060... Generator Loss: 0.8304
Epoch 1/2... Step 1070 Discriminator Loss: 1.4118... Generator Loss: 0.7586
Epoch 1/2... Step 1080 Discriminator Loss: 1.3586... Generator Loss: 0.6780
Epoch 1/2... Step 1090 Discriminator Loss: 1.0945... Generator Loss: 1.1213
Epoch 1/2... Step 1100 Discriminator Loss: 1.9749... Generator Loss: 0.2426
Epoch 1/2... Step 1110 Discriminator Loss: 1.1881... Generator Loss: 0.6496
Epoch 1/2... Step 1120 Discriminator Loss: 1.7395... Generator Loss: 0.3930
Epoch 1/2... Step 1130 Discriminator Loss: 1.3418... Generator Loss: 0.6695
Epoch 1/2... Step 1140 Discriminator Loss: 1.1978... Generator Loss: 0.9878
Epoch 1/2... Step 1150 Discriminator Loss: 1.1021... Generator Loss: 1.6158
Epoch 1/2... Step 1160 Discriminator Loss: 1.0435... Generator Loss: 0.9760
Epoch 1/2... Step 1170 Discriminator Loss: 1.3709... Generator Loss: 0.5448
Epoch 1/2... Step 1180 Discriminator Loss: 1.2047... Generator Loss: 0.8198
Epoch 1/2... Step 1190 Discriminator Loss: 1.1015... Generator Loss: 0.9986
Epoch 1/2... Step 1200 Discriminator Loss: 1.1952... Generator Loss: 0.8876
Epoch 1/2... Step 1210 Discriminator Loss: 0.9916... Generator Loss: 1.2744
Epoch 1/2... Step 1220 Discriminator Loss: 1.3107... Generator Loss: 1.5172
Epoch 1/2... Step 1230 Discriminator Loss: 1.3343... Generator Loss: 0.5546
Epoch 1/2... Step 1240 Discriminator Loss: 1.1255... Generator Loss: 0.8209
Epoch 1/2... Step 1250 Discriminator Loss: 1.0618... Generator Loss: 1.3121
Epoch 1/2... Step 1260 Discriminator Loss: 1.1251... Generator Loss: 0.8002
Epoch 1/2... Step 1270 Discriminator Loss: 1.3510... Generator Loss: 0.5980
Epoch 1/2... Step 1280 Discriminator Loss: 1.1814... Generator Loss: 0.7726
Epoch 1/2... Step 1290 Discriminator Loss: 1.3251... Generator Loss: 0.5653
Epoch 1/2... Step 1300 Discriminator Loss: 1.0053... Generator Loss: 1.1086
Epoch 1/2... Step 1310 Discriminator Loss: 1.1024... Generator Loss: 1.2578
Epoch 1/2... Step 1320 Discriminator Loss: 1.9861... Generator Loss: 0.3648
Epoch 1/2... Step 1330 Discriminator Loss: 1.3722... Generator Loss: 0.5235
Epoch 1/2... Step 1340 Discriminator Loss: 1.1782... Generator Loss: 1.0917
Epoch 1/2... Step 1350 Discriminator Loss: 1.3200... Generator Loss: 0.6233
Epoch 1/2... Step 1360 Discriminator Loss: 1.6789... Generator Loss: 0.4083
Epoch 1/2... Step 1370 Discriminator Loss: 1.3109... Generator Loss: 0.9615
Epoch 1/2... Step 1380 Discriminator Loss: 1.3385... Generator Loss: 0.6787
Epoch 1/2... Step 1390 Discriminator Loss: 1.0087... Generator Loss: 1.0594
Epoch 1/2... Step 1400 Discriminator Loss: 2.4964... Generator Loss: 0.1617
Epoch 1/2... Step 1410 Discriminator Loss: 1.0270... Generator Loss: 1.2173
Epoch 1/2... Step 1420 Discriminator Loss: 0.8990... Generator Loss: 1.1159
Epoch 1/2... Step 1430 Discriminator Loss: 0.9990... Generator Loss: 1.7546
Epoch 1/2... Step 1440 Discriminator Loss: 1.1521... Generator Loss: 1.1092
Epoch 1/2... Step 1450 Discriminator Loss: 1.3532... Generator Loss: 1.2061
Epoch 1/2... Step 1460 Discriminator Loss: 0.9824... Generator Loss: 1.1514
Epoch 1/2... Step 1470 Discriminator Loss: 2.0967... Generator Loss: 0.2075
Epoch 1/2... Step 1480 Discriminator Loss: 1.4405... Generator Loss: 0.6172
Epoch 1/2... Step 1490 Discriminator Loss: 1.3681... Generator Loss: 1.0521
Epoch 1/2... Step 1500 Discriminator Loss: 1.6075... Generator Loss: 0.4586
Epoch 1/2... Step 1510 Discriminator Loss: 1.6179... Generator Loss: 0.5167
Epoch 1/2... Step 1520 Discriminator Loss: 1.0870... Generator Loss: 0.9546
Epoch 1/2... Step 1530 Discriminator Loss: 1.4227... Generator Loss: 0.5071
Epoch 1/2... Step 1540 Discriminator Loss: 0.9476... Generator Loss: 1.4335
Epoch 1/2... Step 1550 Discriminator Loss: 1.1396... Generator Loss: 0.8133
Epoch 1/2... Step 1560 Discriminator Loss: 2.0490... Generator Loss: 0.3122
Epoch 1/2... Step 1570 Discriminator Loss: 1.8542... Generator Loss: 0.3826
Epoch 1/2... Step 1580 Discriminator Loss: 1.5231... Generator Loss: 0.5841
Epoch 1/2... Step 1590 Discriminator Loss: 1.3543... Generator Loss: 0.6025
Epoch 1/2... Step 1600 Discriminator Loss: 1.1070... Generator Loss: 0.8510
Epoch 1/2... Step 1610 Discriminator Loss: 1.3498... Generator Loss: 0.7786
Epoch 1/2... Step 1620 Discriminator Loss: 1.2374... Generator Loss: 0.7433
Epoch 1/2... Step 1630 Discriminator Loss: 1.2100... Generator Loss: 0.7548
Epoch 1/2... Step 1640 Discriminator Loss: 0.9075... Generator Loss: 1.3674
Epoch 1/2... Step 1650 Discriminator Loss: 0.7883... Generator Loss: 1.3462
Epoch 1/2... Step 1660 Discriminator Loss: 0.8703... Generator Loss: 1.5977
Epoch 1/2... Step 1670 Discriminator Loss: 1.2458... Generator Loss: 0.6692
Epoch 1/2... Step 1680 Discriminator Loss: 0.6222... Generator Loss: 2.0793
Epoch 1/2... Step 1690 Discriminator Loss: 1.2874... Generator Loss: 0.9079
Epoch 1/2... Step 1700 Discriminator Loss: 1.2491... Generator Loss: 2.2645
Epoch 1/2... Step 1710 Discriminator Loss: 0.8222... Generator Loss: 1.5623
Epoch 1/2... Step 1720 Discriminator Loss: 1.4982... Generator Loss: 1.4146
Epoch 1/2... Step 1730 Discriminator Loss: 1.4070... Generator Loss: 0.5706
Epoch 1/2... Step 1740 Discriminator Loss: 1.0458... Generator Loss: 1.0155
Epoch 1/2... Step 1750 Discriminator Loss: 1.1581... Generator Loss: 0.7823
Epoch 1/2... Step 1760 Discriminator Loss: 1.0642... Generator Loss: 1.0922
Epoch 1/2... Step 1770 Discriminator Loss: 1.3027... Generator Loss: 1.0402
Epoch 1/2... Step 1780 Discriminator Loss: 1.0690... Generator Loss: 1.1134
Epoch 1/2... Step 1790 Discriminator Loss: 1.0222... Generator Loss: 0.9656
Epoch 1/2... Step 1800 Discriminator Loss: 0.9634... Generator Loss: 1.1657
Epoch 1/2... Step 1810 Discriminator Loss: 1.4824... Generator Loss: 0.6073
Epoch 1/2... Step 1820 Discriminator Loss: 1.1511... Generator Loss: 0.7176
Epoch 1/2... Step 1830 Discriminator Loss: 1.0632... Generator Loss: 1.1073
Epoch 1/2... Step 1840 Discriminator Loss: 1.3268... Generator Loss: 0.5959
Epoch 1/2... Step 1850 Discriminator Loss: 0.9049... Generator Loss: 1.2570
Epoch 1/2... Step 1860 Discriminator Loss: 1.4976... Generator Loss: 0.5424
Epoch 1/2... Step 1870 Discriminator Loss: 0.8146... Generator Loss: 1.3467
Epoch 2/2... Step 1880 Discriminator Loss: 1.1461... Generator Loss: 0.8098
Epoch 2/2... Step 1890 Discriminator Loss: 1.0844... Generator Loss: 1.1578
Epoch 2/2... Step 1900 Discriminator Loss: 1.7363... Generator Loss: 0.3883
Epoch 2/2... Step 1910 Discriminator Loss: 1.1024... Generator Loss: 1.2715
Epoch 2/2... Step 1920 Discriminator Loss: 1.4499... Generator Loss: 0.4783
Epoch 2/2... Step 1930 Discriminator Loss: 1.2750... Generator Loss: 0.6215
Epoch 2/2... Step 1940 Discriminator Loss: 1.0797... Generator Loss: 0.8687
Epoch 2/2... Step 1950 Discriminator Loss: 1.0904... Generator Loss: 0.9716
Epoch 2/2... Step 1960 Discriminator Loss: 1.1438... Generator Loss: 0.8872
Epoch 2/2... Step 1970 Discriminator Loss: 1.4055... Generator Loss: 0.4955
Epoch 2/2... Step 1980 Discriminator Loss: 1.4292... Generator Loss: 0.5515
Epoch 2/2... Step 1990 Discriminator Loss: 0.8044... Generator Loss: 1.4141
Epoch 2/2... Step 2000 Discriminator Loss: 1.0939... Generator Loss: 0.8955
Epoch 2/2... Step 2010 Discriminator Loss: 1.6928... Generator Loss: 0.3856
Epoch 2/2... Step 2020 Discriminator Loss: 0.9086... Generator Loss: 1.0603
Epoch 2/2... Step 2030 Discriminator Loss: 1.3429... Generator Loss: 0.6240
Epoch 2/2... Step 2040 Discriminator Loss: 0.7477... Generator Loss: 1.2993
Epoch 2/2... Step 2050 Discriminator Loss: 0.9335... Generator Loss: 1.1561
Epoch 2/2... Step 2060 Discriminator Loss: 0.7735... Generator Loss: 1.4781
Epoch 2/2... Step 2070 Discriminator Loss: 0.9301... Generator Loss: 1.0055
Epoch 2/2... Step 2080 Discriminator Loss: 0.9080... Generator Loss: 1.1402
Epoch 2/2... Step 2090 Discriminator Loss: 0.9443... Generator Loss: 1.0238
Epoch 2/2... Step 2100 Discriminator Loss: 1.0315... Generator Loss: 1.9231
Epoch 2/2... Step 2110 Discriminator Loss: 1.7003... Generator Loss: 0.3627
Epoch 2/2... Step 2120 Discriminator Loss: 0.9262... Generator Loss: 1.2837
Epoch 2/2... Step 2130 Discriminator Loss: 1.0025... Generator Loss: 1.0937
Epoch 2/2... Step 2140 Discriminator Loss: 0.8935... Generator Loss: 1.6949
Epoch 2/2... Step 2150 Discriminator Loss: 1.4177... Generator Loss: 0.6055
Epoch 2/2... Step 2160 Discriminator Loss: 1.4385... Generator Loss: 0.5294
Epoch 2/2... Step 2170 Discriminator Loss: 0.7588... Generator Loss: 1.4406
Epoch 2/2... Step 2180 Discriminator Loss: 0.7758... Generator Loss: 1.4316
Epoch 2/2... Step 2190 Discriminator Loss: 1.6210... Generator Loss: 0.4523
Epoch 2/2... Step 2200 Discriminator Loss: 0.8335... Generator Loss: 1.2222
Epoch 2/2... Step 2210 Discriminator Loss: 0.9352... Generator Loss: 1.2488
Epoch 2/2... Step 2220 Discriminator Loss: 0.9472... Generator Loss: 1.6525
Epoch 2/2... Step 2230 Discriminator Loss: 1.3325... Generator Loss: 2.6501
Epoch 2/2... Step 2240 Discriminator Loss: 0.9477... Generator Loss: 0.9586
Epoch 2/2... Step 2250 Discriminator Loss: 0.7292... Generator Loss: 1.4853
Epoch 2/2... Step 2260 Discriminator Loss: 0.9660... Generator Loss: 1.0364
Epoch 2/2... Step 2270 Discriminator Loss: 0.9474... Generator Loss: 0.9875
Epoch 2/2... Step 2280 Discriminator Loss: 1.2046... Generator Loss: 0.7498
Epoch 2/2... Step 2290 Discriminator Loss: 1.2079... Generator Loss: 0.8273
Epoch 2/2... Step 2300 Discriminator Loss: 1.0498... Generator Loss: 0.9610
Epoch 2/2... Step 2310 Discriminator Loss: 1.8362... Generator Loss: 0.3611
Epoch 2/2... Step 2320 Discriminator Loss: 1.4222... Generator Loss: 0.6060
Epoch 2/2... Step 2330 Discriminator Loss: 0.9357... Generator Loss: 1.0195
Epoch 2/2... Step 2340 Discriminator Loss: 1.3462... Generator Loss: 0.5870
Epoch 2/2... Step 2350 Discriminator Loss: 0.9826... Generator Loss: 1.1388
Epoch 2/2... Step 2360 Discriminator Loss: 1.6048... Generator Loss: 0.4667
Epoch 2/2... Step 2370 Discriminator Loss: 1.0486... Generator Loss: 1.2400
Epoch 2/2... Step 2380 Discriminator Loss: 1.5380... Generator Loss: 0.4473
Epoch 2/2... Step 2390 Discriminator Loss: 1.3029... Generator Loss: 0.6805
Epoch 2/2... Step 2400 Discriminator Loss: 1.3414... Generator Loss: 0.5442
Epoch 2/2... Step 2410 Discriminator Loss: 0.9339... Generator Loss: 1.0692
Epoch 2/2... Step 2420 Discriminator Loss: 1.2010... Generator Loss: 0.8611
Epoch 2/2... Step 2430 Discriminator Loss: 0.8642... Generator Loss: 1.9664
Epoch 2/2... Step 2440 Discriminator Loss: 1.0297... Generator Loss: 1.1851
Epoch 2/2... Step 2450 Discriminator Loss: 1.0788... Generator Loss: 0.8975
Epoch 2/2... Step 2460 Discriminator Loss: 0.9156... Generator Loss: 1.1906
Epoch 2/2... Step 2470 Discriminator Loss: 1.2343... Generator Loss: 0.9925
Epoch 2/2... Step 2480 Discriminator Loss: 0.8157... Generator Loss: 1.3219
Epoch 2/2... Step 2490 Discriminator Loss: 1.3969... Generator Loss: 0.6927
Epoch 2/2... Step 2500 Discriminator Loss: 1.0714... Generator Loss: 0.9660
Epoch 2/2... Step 2510 Discriminator Loss: 1.5423... Generator Loss: 0.4932
Epoch 2/2... Step 2520 Discriminator Loss: 1.1497... Generator Loss: 0.7932
Epoch 2/2... Step 2530 Discriminator Loss: 0.9722... Generator Loss: 0.9386
Epoch 2/2... Step 2540 Discriminator Loss: 1.0083... Generator Loss: 0.8821
Epoch 2/2... Step 2550 Discriminator Loss: 1.6190... Generator Loss: 0.4980
Epoch 2/2... Step 2560 Discriminator Loss: 1.0000... Generator Loss: 1.1681
Epoch 2/2... Step 2570 Discriminator Loss: 0.8206... Generator Loss: 1.9991
Epoch 2/2... Step 2580 Discriminator Loss: 0.9066... Generator Loss: 1.4632
Epoch 2/2... Step 2590 Discriminator Loss: 1.5109... Generator Loss: 0.5844
Epoch 2/2... Step 2600 Discriminator Loss: 0.8954... Generator Loss: 1.4025
Epoch 2/2... Step 2610 Discriminator Loss: 1.0732... Generator Loss: 0.8549
Epoch 2/2... Step 2620 Discriminator Loss: 0.8767... Generator Loss: 1.2815
Epoch 2/2... Step 2630 Discriminator Loss: 0.9070... Generator Loss: 1.4955
Epoch 2/2... Step 2640 Discriminator Loss: 1.0665... Generator Loss: 0.9588
Epoch 2/2... Step 2650 Discriminator Loss: 1.9448... Generator Loss: 0.3236
Epoch 2/2... Step 2660 Discriminator Loss: 0.7319... Generator Loss: 1.5077
Epoch 2/2... Step 2670 Discriminator Loss: 0.8386... Generator Loss: 2.5468
Epoch 2/2... Step 2680 Discriminator Loss: 0.7826... Generator Loss: 1.4338
Epoch 2/2... Step 2690 Discriminator Loss: 1.2064... Generator Loss: 0.7278
Epoch 2/2... Step 2700 Discriminator Loss: 1.4881... Generator Loss: 0.5120
Epoch 2/2... Step 2710 Discriminator Loss: 0.9278... Generator Loss: 0.9834
Epoch 2/2... Step 2720 Discriminator Loss: 1.1527... Generator Loss: 0.7046
Epoch 2/2... Step 2730 Discriminator Loss: 1.9968... Generator Loss: 0.3361
Epoch 2/2... Step 2740 Discriminator Loss: 1.1869... Generator Loss: 0.6846
Epoch 2/2... Step 2750 Discriminator Loss: 0.8830... Generator Loss: 1.5529
Epoch 2/2... Step 2760 Discriminator Loss: 1.4268... Generator Loss: 0.5250
Epoch 2/2... Step 2770 Discriminator Loss: 1.0510... Generator Loss: 0.9130
Epoch 2/2... Step 2780 Discriminator Loss: 1.6598... Generator Loss: 0.4639
Epoch 2/2... Step 2790 Discriminator Loss: 0.6995... Generator Loss: 1.5983
Epoch 2/2... Step 2800 Discriminator Loss: 1.3394... Generator Loss: 0.7420
Epoch 2/2... Step 2810 Discriminator Loss: 1.0121... Generator Loss: 0.9234
Epoch 2/2... Step 2820 Discriminator Loss: 1.0479... Generator Loss: 0.9366
Epoch 2/2... Step 2830 Discriminator Loss: 0.9376... Generator Loss: 1.2510
Epoch 2/2... Step 2840 Discriminator Loss: 0.7713... Generator Loss: 1.7841
Epoch 2/2... Step 2850 Discriminator Loss: 0.7934... Generator Loss: 1.2130
Epoch 2/2... Step 2860 Discriminator Loss: 1.1473... Generator Loss: 0.7158
Epoch 2/2... Step 2870 Discriminator Loss: 0.8046... Generator Loss: 1.1385
Epoch 2/2... Step 2880 Discriminator Loss: 1.2934... Generator Loss: 0.7025
Epoch 2/2... Step 2890 Discriminator Loss: 0.8108... Generator Loss: 1.2255
Epoch 2/2... Step 2900 Discriminator Loss: 1.0770... Generator Loss: 1.4407
Epoch 2/2... Step 2910 Discriminator Loss: 0.5871... Generator Loss: 1.7961
Epoch 2/2... Step 2920 Discriminator Loss: 1.1349... Generator Loss: 0.9185
Epoch 2/2... Step 2930 Discriminator Loss: 0.6920... Generator Loss: 1.9181
Epoch 2/2... Step 2940 Discriminator Loss: 1.1985... Generator Loss: 0.7494
Epoch 2/2... Step 2950 Discriminator Loss: 0.5646... Generator Loss: 2.5981
Epoch 2/2... Step 2960 Discriminator Loss: 1.0778... Generator Loss: 0.8524
Epoch 2/2... Step 2970 Discriminator Loss: 0.9489... Generator Loss: 1.3593
Epoch 2/2... Step 2980 Discriminator Loss: 1.1224... Generator Loss: 0.7712
Epoch 2/2... Step 2990 Discriminator Loss: 0.8646... Generator Loss: 1.0244
Epoch 2/2... Step 3000 Discriminator Loss: 0.9521... Generator Loss: 1.0284
Epoch 2/2... Step 3010 Discriminator Loss: 1.3403... Generator Loss: 0.5903
Epoch 2/2... Step 3020 Discriminator Loss: 1.5807... Generator Loss: 4.4013
Epoch 2/2... Step 3030 Discriminator Loss: 0.7905... Generator Loss: 1.3742
Epoch 2/2... Step 3040 Discriminator Loss: 1.7319... Generator Loss: 0.4085
Epoch 2/2... Step 3050 Discriminator Loss: 1.4265... Generator Loss: 0.5820
Epoch 2/2... Step 3060 Discriminator Loss: 0.7422... Generator Loss: 2.2171
Epoch 2/2... Step 3070 Discriminator Loss: 1.1250... Generator Loss: 0.8537
Epoch 2/2... Step 3080 Discriminator Loss: 1.3642... Generator Loss: 0.5615
Epoch 2/2... Step 3090 Discriminator Loss: 0.9153... Generator Loss: 1.0333
Epoch 2/2... Step 3100 Discriminator Loss: 1.4777... Generator Loss: 0.6157
Epoch 2/2... Step 3110 Discriminator Loss: 0.8368... Generator Loss: 1.4087
Epoch 2/2... Step 3120 Discriminator Loss: 0.8293... Generator Loss: 1.3818
Epoch 2/2... Step 3130 Discriminator Loss: 1.6310... Generator Loss: 0.4715
Epoch 2/2... Step 3140 Discriminator Loss: 0.7248... Generator Loss: 2.0392
Epoch 2/2... Step 3150 Discriminator Loss: 1.8509... Generator Loss: 0.3703
Epoch 2/2... Step 3160 Discriminator Loss: 1.1130... Generator Loss: 0.8541
Epoch 2/2... Step 3170 Discriminator Loss: 1.3218... Generator Loss: 0.6609
Epoch 2/2... Step 3180 Discriminator Loss: 1.9291... Generator Loss: 0.3634
Epoch 2/2... Step 3190 Discriminator Loss: 1.0884... Generator Loss: 0.7934
Epoch 2/2... Step 3200 Discriminator Loss: 0.8859... Generator Loss: 1.1832
Epoch 2/2... Step 3210 Discriminator Loss: 1.1194... Generator Loss: 0.9435
Epoch 2/2... Step 3220 Discriminator Loss: 1.1560... Generator Loss: 0.8428
Epoch 2/2... Step 3230 Discriminator Loss: 0.8258... Generator Loss: 1.2292
Epoch 2/2... Step 3240 Discriminator Loss: 0.8428... Generator Loss: 1.8054
Epoch 2/2... Step 3250 Discriminator Loss: 0.8290... Generator Loss: 1.3163
Epoch 2/2... Step 3260 Discriminator Loss: 1.2376... Generator Loss: 0.6433
Epoch 2/2... Step 3270 Discriminator Loss: 0.7652... Generator Loss: 1.2073
Epoch 2/2... Step 3280 Discriminator Loss: 0.7785... Generator Loss: 1.5217
Epoch 2/2... Step 3290 Discriminator Loss: 1.1104... Generator Loss: 0.7821
Epoch 2/2... Step 3300 Discriminator Loss: 0.8177... Generator Loss: 1.4512
Epoch 2/2... Step 3310 Discriminator Loss: 0.7166... Generator Loss: 1.8087
Epoch 2/2... Step 3320 Discriminator Loss: 0.5650... Generator Loss: 2.3788
Epoch 2/2... Step 3330 Discriminator Loss: 1.3911... Generator Loss: 0.7190
Epoch 2/2... Step 3340 Discriminator Loss: 0.6569... Generator Loss: 1.7026
Epoch 2/2... Step 3350 Discriminator Loss: 1.1550... Generator Loss: 2.5677
Epoch 2/2... Step 3360 Discriminator Loss: 1.0109... Generator Loss: 0.9098
Epoch 2/2... Step 3370 Discriminator Loss: 0.6038... Generator Loss: 2.0164
Epoch 2/2... Step 3380 Discriminator Loss: 0.7559... Generator Loss: 1.3544
Epoch 2/2... Step 3390 Discriminator Loss: 0.4662... Generator Loss: 2.6773
Epoch 2/2... Step 3400 Discriminator Loss: 1.1553... Generator Loss: 0.7038
Epoch 2/2... Step 3410 Discriminator Loss: 1.2799... Generator Loss: 0.7718
Epoch 2/2... Step 3420 Discriminator Loss: 0.6333... Generator Loss: 1.7877
Epoch 2/2... Step 3430 Discriminator Loss: 1.5421... Generator Loss: 0.7508
Epoch 2/2... Step 3440 Discriminator Loss: 1.4019... Generator Loss: 0.5767
Epoch 2/2... Step 3450 Discriminator Loss: 2.0002... Generator Loss: 0.3550
Epoch 2/2... Step 3460 Discriminator Loss: 1.2841... Generator Loss: 0.6301
Epoch 2/2... Step 3470 Discriminator Loss: 0.9825... Generator Loss: 1.1092
Epoch 2/2... Step 3480 Discriminator Loss: 0.5909... Generator Loss: 2.1784
Epoch 2/2... Step 3490 Discriminator Loss: 1.1358... Generator Loss: 0.8342
Epoch 2/2... Step 3500 Discriminator Loss: 0.8930... Generator Loss: 1.1013
Epoch 2/2... Step 3510 Discriminator Loss: 1.0283... Generator Loss: 0.9449
Epoch 2/2... Step 3520 Discriminator Loss: 0.6616... Generator Loss: 2.0743
Epoch 2/2... Step 3530 Discriminator Loss: 1.1688... Generator Loss: 0.7672
Epoch 2/2... Step 3540 Discriminator Loss: 0.9752... Generator Loss: 1.0137
Epoch 2/2... Step 3550 Discriminator Loss: 0.9215... Generator Loss: 1.1392
Epoch 2/2... Step 3560 Discriminator Loss: 0.9899... Generator Loss: 1.0127
Epoch 2/2... Step 3570 Discriminator Loss: 0.9213... Generator Loss: 1.4055
Epoch 2/2... Step 3580 Discriminator Loss: 1.1398... Generator Loss: 0.8440
Epoch 2/2... Step 3590 Discriminator Loss: 2.7730... Generator Loss: 0.1849
Epoch 2/2... Step 3600 Discriminator Loss: 1.4797... Generator Loss: 0.6869
Epoch 2/2... Step 3610 Discriminator Loss: 0.6206... Generator Loss: 2.0425
Epoch 2/2... Step 3620 Discriminator Loss: 1.2190... Generator Loss: 0.8029
Epoch 2/2... Step 3630 Discriminator Loss: 0.7639... Generator Loss: 1.4129
Epoch 2/2... Step 3640 Discriminator Loss: 1.7399... Generator Loss: 0.4856
Epoch 2/2... Step 3650 Discriminator Loss: 1.2722... Generator Loss: 0.6311
Epoch 2/2... Step 3660 Discriminator Loss: 0.6085... Generator Loss: 1.8970
Epoch 2/2... Step 3670 Discriminator Loss: 1.0928... Generator Loss: 1.1156
Epoch 2/2... Step 3680 Discriminator Loss: 1.1386... Generator Loss: 0.9338
Epoch 2/2... Step 3690 Discriminator Loss: 0.9078... Generator Loss: 1.2680
Epoch 2/2... Step 3700 Discriminator Loss: 0.7261... Generator Loss: 1.5906
Epoch 2/2... Step 3710 Discriminator Loss: 0.6432... Generator Loss: 2.9411
Epoch 2/2... Step 3720 Discriminator Loss: 0.8687... Generator Loss: 1.6066
Epoch 2/2... Step 3730 Discriminator Loss: 0.5926... Generator Loss: 2.2246
Epoch 2/2... Step 3740 Discriminator Loss: 0.6373... Generator Loss: 1.8624
Epoch 2/2... Step 3750 Discriminator Loss: 0.5579... Generator Loss: 1.9320

CelebA

Run your GANs on CelebA. It will take around 20 minutes on the average GPU to run one epoch. You can run the whole epoch or stop when it starts to generate realistic faces.

In [16]:
batch_size = 32
z_dim = 128
learning_rate = 0.001
beta1 = 0.4
tf.reset_default_graph()

"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 1

celeba_dataset = helper.Dataset('celeba', glob(os.path.join(data_dir, 'img_align_celeba/*.jpg')))
with tf.Graph().as_default():
    train(epochs, batch_size, z_dim, learning_rate, beta1, celeba_dataset.get_batches,
          celeba_dataset.shape, celeba_dataset.image_mode)
Epoch 1/1... Step 10 Discriminator Loss: 4.2704... Generator Loss: 0.0229
Epoch 1/1... Step 20 Discriminator Loss: 0.7476... Generator Loss: 1.1738
Epoch 1/1... Step 30 Discriminator Loss: 0.5729... Generator Loss: 2.0593
Epoch 1/1... Step 40 Discriminator Loss: 0.6608... Generator Loss: 5.6444
Epoch 1/1... Step 50 Discriminator Loss: 2.2368... Generator Loss: 0.3531
Epoch 1/1... Step 60 Discriminator Loss: 1.1636... Generator Loss: 0.9570
Epoch 1/1... Step 70 Discriminator Loss: 2.7279... Generator Loss: 0.1241
Epoch 1/1... Step 80 Discriminator Loss: 1.0460... Generator Loss: 3.8935
Epoch 1/1... Step 90 Discriminator Loss: 3.6539... Generator Loss: 7.7441
Epoch 1/1... Step 100 Discriminator Loss: 2.8600... Generator Loss: 5.5056
Epoch 1/1... Step 110 Discriminator Loss: 2.0195... Generator Loss: 0.2792
Epoch 1/1... Step 120 Discriminator Loss: 0.6968... Generator Loss: 1.7354
Epoch 1/1... Step 130 Discriminator Loss: 1.3348... Generator Loss: 4.8178
Epoch 1/1... Step 140 Discriminator Loss: 1.3714... Generator Loss: 0.5588
Epoch 1/1... Step 150 Discriminator Loss: 0.9391... Generator Loss: 1.2479
Epoch 1/1... Step 160 Discriminator Loss: 2.1083... Generator Loss: 0.2761
Epoch 1/1... Step 170 Discriminator Loss: 1.2606... Generator Loss: 0.6915
Epoch 1/1... Step 180 Discriminator Loss: 1.7054... Generator Loss: 0.4401
Epoch 1/1... Step 190 Discriminator Loss: 1.4355... Generator Loss: 2.7981
Epoch 1/1... Step 200 Discriminator Loss: 1.3866... Generator Loss: 0.6637
Epoch 1/1... Step 210 Discriminator Loss: 2.2831... Generator Loss: 2.6083
Epoch 1/1... Step 220 Discriminator Loss: 1.1650... Generator Loss: 0.7922
Epoch 1/1... Step 230 Discriminator Loss: 2.4299... Generator Loss: 0.1647
Epoch 1/1... Step 240 Discriminator Loss: 2.2225... Generator Loss: 0.2098
Epoch 1/1... Step 250 Discriminator Loss: 1.6002... Generator Loss: 0.4425
Epoch 1/1... Step 260 Discriminator Loss: 1.0889... Generator Loss: 0.8193
Epoch 1/1... Step 270 Discriminator Loss: 1.2260... Generator Loss: 1.7103
Epoch 1/1... Step 280 Discriminator Loss: 0.6017... Generator Loss: 1.9646
Epoch 1/1... Step 290 Discriminator Loss: 0.9383... Generator Loss: 0.9622
Epoch 1/1... Step 300 Discriminator Loss: 1.2086... Generator Loss: 0.8758
Epoch 1/1... Step 310 Discriminator Loss: 1.5935... Generator Loss: 0.4815
Epoch 1/1... Step 320 Discriminator Loss: 1.7266... Generator Loss: 0.5743
Epoch 1/1... Step 330 Discriminator Loss: 1.5508... Generator Loss: 0.8456
Epoch 1/1... Step 340 Discriminator Loss: 1.4670... Generator Loss: 0.7869
Epoch 1/1... Step 350 Discriminator Loss: 1.2355... Generator Loss: 0.7359
Epoch 1/1... Step 360 Discriminator Loss: 1.3148... Generator Loss: 1.0330
Epoch 1/1... Step 370 Discriminator Loss: 1.0889... Generator Loss: 0.9718
Epoch 1/1... Step 380 Discriminator Loss: 0.9763... Generator Loss: 1.1396
Epoch 1/1... Step 390 Discriminator Loss: 1.7181... Generator Loss: 3.8375
Epoch 1/1... Step 400 Discriminator Loss: 0.6582... Generator Loss: 1.6058
Epoch 1/1... Step 410 Discriminator Loss: 0.5416... Generator Loss: 1.9862
Epoch 1/1... Step 420 Discriminator Loss: 0.5317... Generator Loss: 1.9704
Epoch 1/1... Step 430 Discriminator Loss: 1.6385... Generator Loss: 1.6932
Epoch 1/1... Step 440 Discriminator Loss: 0.8098... Generator Loss: 1.2219
Epoch 1/1... Step 450 Discriminator Loss: 1.6522... Generator Loss: 0.4402
Epoch 1/1... Step 460 Discriminator Loss: 1.0216... Generator Loss: 0.8397
Epoch 1/1... Step 470 Discriminator Loss: 0.4873... Generator Loss: 2.1479
Epoch 1/1... Step 480 Discriminator Loss: 0.4561... Generator Loss: 2.8241
Epoch 1/1... Step 490 Discriminator Loss: 0.6088... Generator Loss: 1.6675
Epoch 1/1... Step 500 Discriminator Loss: 0.6114... Generator Loss: 3.2548
Epoch 1/1... Step 510 Discriminator Loss: 0.9414... Generator Loss: 1.1480
Epoch 1/1... Step 520 Discriminator Loss: 1.9974... Generator Loss: 2.3367
Epoch 1/1... Step 530 Discriminator Loss: 0.9970... Generator Loss: 0.8967
Epoch 1/1... Step 540 Discriminator Loss: 0.9066... Generator Loss: 1.2977
Epoch 1/1... Step 550 Discriminator Loss: 0.9302... Generator Loss: 0.9266
Epoch 1/1... Step 560 Discriminator Loss: 1.8524... Generator Loss: 0.2879
Epoch 1/1... Step 570 Discriminator Loss: 0.8972... Generator Loss: 1.1998
Epoch 1/1... Step 580 Discriminator Loss: 0.4442... Generator Loss: 2.9015
Epoch 1/1... Step 590 Discriminator Loss: 1.0158... Generator Loss: 2.7341
Epoch 1/1... Step 600 Discriminator Loss: 0.3518... Generator Loss: 5.5672
Epoch 1/1... Step 610 Discriminator Loss: 0.6601... Generator Loss: 1.4625
Epoch 1/1... Step 620 Discriminator Loss: 0.3580... Generator Loss: 5.0530
Epoch 1/1... Step 630 Discriminator Loss: 0.4588... Generator Loss: 2.5790
Epoch 1/1... Step 640 Discriminator Loss: 0.4396... Generator Loss: 2.3837
Epoch 1/1... Step 650 Discriminator Loss: 1.0658... Generator Loss: 2.6861
Epoch 1/1... Step 660 Discriminator Loss: 1.1515... Generator Loss: 1.3111
Epoch 1/1... Step 670 Discriminator Loss: 1.0195... Generator Loss: 1.6871
Epoch 1/1... Step 680 Discriminator Loss: 1.1192... Generator Loss: 0.8814
Epoch 1/1... Step 690 Discriminator Loss: 1.0486... Generator Loss: 0.8354
Epoch 1/1... Step 700 Discriminator Loss: 1.3015... Generator Loss: 2.4536
Epoch 1/1... Step 710 Discriminator Loss: 2.0953... Generator Loss: 0.2252
Epoch 1/1... Step 720 Discriminator Loss: 1.0518... Generator Loss: 0.9461
Epoch 1/1... Step 730 Discriminator Loss: 1.1543... Generator Loss: 1.4902
Epoch 1/1... Step 740 Discriminator Loss: 1.3866... Generator Loss: 0.5461
Epoch 1/1... Step 750 Discriminator Loss: 0.9901... Generator Loss: 1.4101
Epoch 1/1... Step 760 Discriminator Loss: 1.1765... Generator Loss: 0.9171
Epoch 1/1... Step 770 Discriminator Loss: 1.0348... Generator Loss: 1.1053
Epoch 1/1... Step 780 Discriminator Loss: 1.5797... Generator Loss: 3.9044
Epoch 1/1... Step 790 Discriminator Loss: 0.8906... Generator Loss: 2.3062
Epoch 1/1... Step 800 Discriminator Loss: 2.0385... Generator Loss: 0.2434
Epoch 1/1... Step 810 Discriminator Loss: 1.1138... Generator Loss: 2.3347
Epoch 1/1... Step 820 Discriminator Loss: 1.4342... Generator Loss: 0.5060
Epoch 1/1... Step 830 Discriminator Loss: 1.5238... Generator Loss: 0.5673
Epoch 1/1... Step 840 Discriminator Loss: 1.5566... Generator Loss: 0.4709
Epoch 1/1... Step 850 Discriminator Loss: 1.2833... Generator Loss: 0.7238
Epoch 1/1... Step 860 Discriminator Loss: 1.6072... Generator Loss: 0.5044
Epoch 1/1... Step 870 Discriminator Loss: 1.0052... Generator Loss: 1.2131
Epoch 1/1... Step 880 Discriminator Loss: 1.1101... Generator Loss: 1.1069
Epoch 1/1... Step 890 Discriminator Loss: 1.4479... Generator Loss: 0.4855
Epoch 1/1... Step 900 Discriminator Loss: 1.7219... Generator Loss: 0.4851
Epoch 1/1... Step 910 Discriminator Loss: 1.6951... Generator Loss: 0.3366
Epoch 1/1... Step 920 Discriminator Loss: 1.0899... Generator Loss: 0.8164
Epoch 1/1... Step 930 Discriminator Loss: 4.8125... Generator Loss: 6.5244
Epoch 1/1... Step 940 Discriminator Loss: 1.6050... Generator Loss: 0.5205
Epoch 1/1... Step 950 Discriminator Loss: 1.5736... Generator Loss: 0.4402
Epoch 1/1... Step 960 Discriminator Loss: 1.2173... Generator Loss: 1.6777
Epoch 1/1... Step 970 Discriminator Loss: 1.3128... Generator Loss: 0.6793
Epoch 1/1... Step 980 Discriminator Loss: 1.0925... Generator Loss: 1.5989
Epoch 1/1... Step 990 Discriminator Loss: 1.4274... Generator Loss: 1.9996
Epoch 1/1... Step 1000 Discriminator Loss: 1.7759... Generator Loss: 0.3282
Epoch 1/1... Step 1010 Discriminator Loss: 1.2262... Generator Loss: 0.6057
Epoch 1/1... Step 1020 Discriminator Loss: 1.6334... Generator Loss: 0.3893
Epoch 1/1... Step 1030 Discriminator Loss: 1.4477... Generator Loss: 0.4811
Epoch 1/1... Step 1040 Discriminator Loss: 1.1743... Generator Loss: 1.4255
Epoch 1/1... Step 1050 Discriminator Loss: 0.9249... Generator Loss: 1.5664
Epoch 1/1... Step 1060 Discriminator Loss: 0.8439... Generator Loss: 1.4809
Epoch 1/1... Step 1070 Discriminator Loss: 1.0076... Generator Loss: 1.4084
Epoch 1/1... Step 1080 Discriminator Loss: 0.8482... Generator Loss: 1.4062
Epoch 1/1... Step 1090 Discriminator Loss: 1.0787... Generator Loss: 0.8357
Epoch 1/1... Step 1100 Discriminator Loss: 0.5158... Generator Loss: 2.1467
Epoch 1/1... Step 1110 Discriminator Loss: 0.6537... Generator Loss: 1.9270
Epoch 1/1... Step 1120 Discriminator Loss: 1.1879... Generator Loss: 3.4412
Epoch 1/1... Step 1130 Discriminator Loss: 0.6246... Generator Loss: 1.5941
Epoch 1/1... Step 1140 Discriminator Loss: 1.0444... Generator Loss: 0.8248
Epoch 1/1... Step 1150 Discriminator Loss: 1.1721... Generator Loss: 2.0485
Epoch 1/1... Step 1160 Discriminator Loss: 1.5857... Generator Loss: 0.5127
Epoch 1/1... Step 1170 Discriminator Loss: 0.6321... Generator Loss: 1.4207
Epoch 1/1... Step 1180 Discriminator Loss: 0.5447... Generator Loss: 4.3695
Epoch 1/1... Step 1190 Discriminator Loss: 0.5388... Generator Loss: 2.4397
Epoch 1/1... Step 1200 Discriminator Loss: 0.5140... Generator Loss: 1.9532
Epoch 1/1... Step 1210 Discriminator Loss: 0.3984... Generator Loss: 3.0947
Epoch 1/1... Step 1220 Discriminator Loss: 0.3812... Generator Loss: 4.1735
Epoch 1/1... Step 1230 Discriminator Loss: 0.3340... Generator Loss: 7.0012
Epoch 1/1... Step 1240 Discriminator Loss: 0.4319... Generator Loss: 2.7122
Epoch 1/1... Step 1250 Discriminator Loss: 0.3610... Generator Loss: 4.1253
Epoch 1/1... Step 1260 Discriminator Loss: 0.5226... Generator Loss: 2.7593
Epoch 1/1... Step 1270 Discriminator Loss: 0.3763... Generator Loss: 3.6877
Epoch 1/1... Step 1280 Discriminator Loss: 0.3399... Generator Loss: 9.3021
Epoch 1/1... Step 1290 Discriminator Loss: 2.3447... Generator Loss: 0.1840
Epoch 1/1... Step 1300 Discriminator Loss: 3.2789... Generator Loss: 5.8770
Epoch 1/1... Step 1310 Discriminator Loss: 0.7912... Generator Loss: 1.8676
Epoch 1/1... Step 1320 Discriminator Loss: 1.2319... Generator Loss: 0.5912
Epoch 1/1... Step 1330 Discriminator Loss: 0.6820... Generator Loss: 1.6152
Epoch 1/1... Step 1340 Discriminator Loss: 1.3017... Generator Loss: 0.5578
Epoch 1/1... Step 1350 Discriminator Loss: 0.5463... Generator Loss: 3.7474
Epoch 1/1... Step 1360 Discriminator Loss: 1.1827... Generator Loss: 0.6476
Epoch 1/1... Step 1370 Discriminator Loss: 0.9872... Generator Loss: 3.5784
Epoch 1/1... Step 1380 Discriminator Loss: 2.1142... Generator Loss: 3.2153
Epoch 1/1... Step 1390 Discriminator Loss: 0.8321... Generator Loss: 1.4211
Epoch 1/1... Step 1400 Discriminator Loss: 1.0976... Generator Loss: 3.3440
Epoch 1/1... Step 1410 Discriminator Loss: 0.3986... Generator Loss: 3.3633
Epoch 1/1... Step 1420 Discriminator Loss: 0.4612... Generator Loss: 3.3593
Epoch 1/1... Step 1430 Discriminator Loss: 0.4488... Generator Loss: 2.7869
Epoch 1/1... Step 1440 Discriminator Loss: 1.0398... Generator Loss: 5.3784
Epoch 1/1... Step 1450 Discriminator Loss: 1.1022... Generator Loss: 0.6822
Epoch 1/1... Step 1460 Discriminator Loss: 1.4567... Generator Loss: 0.4739
Epoch 1/1... Step 1470 Discriminator Loss: 1.1768... Generator Loss: 0.8366
Epoch 1/1... Step 1480 Discriminator Loss: 0.9162... Generator Loss: 1.0567
Epoch 1/1... Step 1490 Discriminator Loss: 2.7537... Generator Loss: 4.4042
Epoch 1/1... Step 1500 Discriminator Loss: 1.1234... Generator Loss: 0.8084
Epoch 1/1... Step 1510 Discriminator Loss: 1.6724... Generator Loss: 0.3533
Epoch 1/1... Step 1520 Discriminator Loss: 0.9435... Generator Loss: 0.9724
Epoch 1/1... Step 1530 Discriminator Loss: 0.4009... Generator Loss: 4.1984
Epoch 1/1... Step 1540 Discriminator Loss: 0.9201... Generator Loss: 1.2042
Epoch 1/1... Step 1550 Discriminator Loss: 1.2503... Generator Loss: 0.7124
Epoch 1/1... Step 1560 Discriminator Loss: 0.3707... Generator Loss: 4.2327
Epoch 1/1... Step 1570 Discriminator Loss: 2.1531... Generator Loss: 2.8982
Epoch 1/1... Step 1580 Discriminator Loss: 1.3303... Generator Loss: 0.5253
Epoch 1/1... Step 1590 Discriminator Loss: 1.1891... Generator Loss: 0.6262
Epoch 1/1... Step 1600 Discriminator Loss: 1.9340... Generator Loss: 0.2841
Epoch 1/1... Step 1610 Discriminator Loss: 0.8238... Generator Loss: 1.1750
Epoch 1/1... Step 1620 Discriminator Loss: 0.7757... Generator Loss: 1.3914
Epoch 1/1... Step 1630 Discriminator Loss: 0.8615... Generator Loss: 1.2590
Epoch 1/1... Step 1640 Discriminator Loss: 0.7844... Generator Loss: 1.3324
Epoch 1/1... Step 1650 Discriminator Loss: 0.7630... Generator Loss: 1.7378
Epoch 1/1... Step 1660 Discriminator Loss: 0.6967... Generator Loss: 4.4403
Epoch 1/1... Step 1670 Discriminator Loss: 0.7981... Generator Loss: 3.3917
Epoch 1/1... Step 1680 Discriminator Loss: 1.0727... Generator Loss: 1.1322
Epoch 1/1... Step 1690 Discriminator Loss: 0.5888... Generator Loss: 1.9974
Epoch 1/1... Step 1700 Discriminator Loss: 2.9470... Generator Loss: 0.1061
Epoch 1/1... Step 1710 Discriminator Loss: 0.8586... Generator Loss: 1.1769
Epoch 1/1... Step 1720 Discriminator Loss: 1.0883... Generator Loss: 1.8536
Epoch 1/1... Step 1730 Discriminator Loss: 1.0329... Generator Loss: 2.1495
Epoch 1/1... Step 1740 Discriminator Loss: 1.3074... Generator Loss: 2.2101
Epoch 1/1... Step 1750 Discriminator Loss: 0.4794... Generator Loss: 2.7043
Epoch 1/1... Step 1760 Discriminator Loss: 0.4325... Generator Loss: 2.8468
Epoch 1/1... Step 1770 Discriminator Loss: 0.3441... Generator Loss: 5.7207
Epoch 1/1... Step 1780 Discriminator Loss: 3.4528... Generator Loss: 5.0124
Epoch 1/1... Step 1790 Discriminator Loss: 1.0809... Generator Loss: 1.0736
Epoch 1/1... Step 1800 Discriminator Loss: 0.7008... Generator Loss: 1.6336
Epoch 1/1... Step 1810 Discriminator Loss: 0.7341... Generator Loss: 1.8362
Epoch 1/1... Step 1820 Discriminator Loss: 1.1082... Generator Loss: 0.7398
Epoch 1/1... Step 1830 Discriminator Loss: 1.1705... Generator Loss: 1.8170
Epoch 1/1... Step 1840 Discriminator Loss: 0.5614... Generator Loss: 2.2026
Epoch 1/1... Step 1850 Discriminator Loss: 0.3579... Generator Loss: 5.3511
Epoch 1/1... Step 1860 Discriminator Loss: 0.3555... Generator Loss: 5.5186
Epoch 1/1... Step 1870 Discriminator Loss: 0.7372... Generator Loss: 2.9739
Epoch 1/1... Step 1880 Discriminator Loss: 0.5980... Generator Loss: 2.4271
Epoch 1/1... Step 1890 Discriminator Loss: 0.3968... Generator Loss: 4.0846
Epoch 1/1... Step 1900 Discriminator Loss: 0.9965... Generator Loss: 0.9480
Epoch 1/1... Step 1910 Discriminator Loss: 1.0217... Generator Loss: 0.7892
Epoch 1/1... Step 1920 Discriminator Loss: 1.2666... Generator Loss: 0.5941
Epoch 1/1... Step 1930 Discriminator Loss: 1.0179... Generator Loss: 1.1069
Epoch 1/1... Step 1940 Discriminator Loss: 0.4903... Generator Loss: 2.3193
Epoch 1/1... Step 1950 Discriminator Loss: 0.6484... Generator Loss: 2.2977
Epoch 1/1... Step 1960 Discriminator Loss: 0.9446... Generator Loss: 1.0946
Epoch 1/1... Step 1970 Discriminator Loss: 0.9921... Generator Loss: 0.9068
Epoch 1/1... Step 1980 Discriminator Loss: 3.9432... Generator Loss: 0.0442
Epoch 1/1... Step 1990 Discriminator Loss: 0.8813... Generator Loss: 0.9398
Epoch 1/1... Step 2000 Discriminator Loss: 0.5353... Generator Loss: 2.1433
Epoch 1/1... Step 2010 Discriminator Loss: 0.4901... Generator Loss: 2.4290
Epoch 1/1... Step 2020 Discriminator Loss: 0.8257... Generator Loss: 1.2213
Epoch 1/1... Step 2030 Discriminator Loss: 0.3782... Generator Loss: 4.2925
Epoch 1/1... Step 2040 Discriminator Loss: 0.8502... Generator Loss: 4.5718
Epoch 1/1... Step 2050 Discriminator Loss: 1.8606... Generator Loss: 3.9558
Epoch 1/1... Step 2060 Discriminator Loss: 0.5057... Generator Loss: 3.0451
Epoch 1/1... Step 2070 Discriminator Loss: 0.5889... Generator Loss: 2.1677
Epoch 1/1... Step 2080 Discriminator Loss: 0.4183... Generator Loss: 2.9751
Epoch 1/1... Step 2090 Discriminator Loss: 0.5244... Generator Loss: 2.0884
Epoch 1/1... Step 2100 Discriminator Loss: 0.4810... Generator Loss: 2.3193
Epoch 1/1... Step 2110 Discriminator Loss: 0.6840... Generator Loss: 1.9735
Epoch 1/1... Step 2120 Discriminator Loss: 0.3511... Generator Loss: 5.6128
Epoch 1/1... Step 2130 Discriminator Loss: 0.5472... Generator Loss: 1.8744
Epoch 1/1... Step 2140 Discriminator Loss: 0.4100... Generator Loss: 3.3221
Epoch 1/1... Step 2150 Discriminator Loss: 0.3609... Generator Loss: 4.3292
Epoch 1/1... Step 2160 Discriminator Loss: 0.4571... Generator Loss: 2.7888
Epoch 1/1... Step 2170 Discriminator Loss: 0.5939... Generator Loss: 4.9269
Epoch 1/1... Step 2180 Discriminator Loss: 1.2301... Generator Loss: 0.6186
Epoch 1/1... Step 2190 Discriminator Loss: 1.3500... Generator Loss: 0.4800
Epoch 1/1... Step 2200 Discriminator Loss: 1.1389... Generator Loss: 1.3233
Epoch 1/1... Step 2210 Discriminator Loss: 0.5799... Generator Loss: 2.2613
Epoch 1/1... Step 2220 Discriminator Loss: 0.3970... Generator Loss: 3.6116
Epoch 1/1... Step 2230 Discriminator Loss: 0.9371... Generator Loss: 0.9599
Epoch 1/1... Step 2240 Discriminator Loss: 0.5013... Generator Loss: 2.3412
Epoch 1/1... Step 2250 Discriminator Loss: 0.9586... Generator Loss: 1.8463
Epoch 1/1... Step 2260 Discriminator Loss: 1.9972... Generator Loss: 3.1321
Epoch 1/1... Step 2270 Discriminator Loss: 0.3568... Generator Loss: 4.3729
Epoch 1/1... Step 2280 Discriminator Loss: 0.6608... Generator Loss: 2.0243
Epoch 1/1... Step 2290 Discriminator Loss: 0.3593... Generator Loss: 5.0475
Epoch 1/1... Step 2300 Discriminator Loss: 1.4420... Generator Loss: 4.3782
Epoch 1/1... Step 2310 Discriminator Loss: 0.5401... Generator Loss: 2.1456
Epoch 1/1... Step 2320 Discriminator Loss: 0.3618... Generator Loss: 4.1538
Epoch 1/1... Step 2330 Discriminator Loss: 0.4842... Generator Loss: 3.7907
Epoch 1/1... Step 2340 Discriminator Loss: 1.0922... Generator Loss: 1.0644
Epoch 1/1... Step 2350 Discriminator Loss: 0.5661... Generator Loss: 1.8457
Epoch 1/1... Step 2360 Discriminator Loss: 1.1444... Generator Loss: 0.9723
Epoch 1/1... Step 2370 Discriminator Loss: 0.9305... Generator Loss: 3.1971
Epoch 1/1... Step 2380 Discriminator Loss: 0.4910... Generator Loss: 2.2705
Epoch 1/1... Step 2390 Discriminator Loss: 0.6148... Generator Loss: 4.9405
Epoch 1/1... Step 2400 Discriminator Loss: 0.6844... Generator Loss: 3.2996
Epoch 1/1... Step 2410 Discriminator Loss: 0.6856... Generator Loss: 1.6968
Epoch 1/1... Step 2420 Discriminator Loss: 0.5196... Generator Loss: 2.3885
Epoch 1/1... Step 2430 Discriminator Loss: 0.4292... Generator Loss: 2.6875
Epoch 1/1... Step 2440 Discriminator Loss: 0.6225... Generator Loss: 2.7799
Epoch 1/1... Step 2450 Discriminator Loss: 0.9648... Generator Loss: 2.0840
Epoch 1/1... Step 2460 Discriminator Loss: 1.0939... Generator Loss: 3.1756
Epoch 1/1... Step 2470 Discriminator Loss: 0.4326... Generator Loss: 2.6390
Epoch 1/1... Step 2480 Discriminator Loss: 0.3849... Generator Loss: 3.8927
Epoch 1/1... Step 2490 Discriminator Loss: 1.9709... Generator Loss: 0.3566
Epoch 1/1... Step 2500 Discriminator Loss: 0.8579... Generator Loss: 1.6412
Epoch 1/1... Step 2510 Discriminator Loss: 1.0217... Generator Loss: 1.8388
Epoch 1/1... Step 2520 Discriminator Loss: 1.1440... Generator Loss: 0.7524
Epoch 1/1... Step 2530 Discriminator Loss: 0.7903... Generator Loss: 1.1649
Epoch 1/1... Step 2540 Discriminator Loss: 0.8016... Generator Loss: 1.2258
Epoch 1/1... Step 2550 Discriminator Loss: 1.3273... Generator Loss: 3.0220
Epoch 1/1... Step 2560 Discriminator Loss: 0.5876... Generator Loss: 1.6605
Epoch 1/1... Step 2570 Discriminator Loss: 0.4927... Generator Loss: 2.1985
Epoch 1/1... Step 2580 Discriminator Loss: 0.3542... Generator Loss: 5.8115
Epoch 1/1... Step 2590 Discriminator Loss: 0.6977... Generator Loss: 5.5022
Epoch 1/1... Step 2600 Discriminator Loss: 0.6207... Generator Loss: 1.8676
Epoch 1/1... Step 2610 Discriminator Loss: 0.3791... Generator Loss: 4.5912
Epoch 1/1... Step 2620 Discriminator Loss: 0.3892... Generator Loss: 3.5358
Epoch 1/1... Step 2630 Discriminator Loss: 0.4780... Generator Loss: 2.4344
Epoch 1/1... Step 2640 Discriminator Loss: 0.8074... Generator Loss: 1.0755
Epoch 1/1... Step 2650 Discriminator Loss: 1.1021... Generator Loss: 2.2425
Epoch 1/1... Step 2660 Discriminator Loss: 0.8074... Generator Loss: 1.6510
Epoch 1/1... Step 2670 Discriminator Loss: 1.1999... Generator Loss: 0.6378
Epoch 1/1... Step 2680 Discriminator Loss: 0.4471... Generator Loss: 3.7353
Epoch 1/1... Step 2690 Discriminator Loss: 1.4290... Generator Loss: 0.6974
Epoch 1/1... Step 2700 Discriminator Loss: 0.9325... Generator Loss: 1.3215
Epoch 1/1... Step 2710 Discriminator Loss: 1.4519... Generator Loss: 3.5355
Epoch 1/1... Step 2720 Discriminator Loss: 1.1778... Generator Loss: 0.7153
Epoch 1/1... Step 2730 Discriminator Loss: 0.7164... Generator Loss: 1.5420
Epoch 1/1... Step 2740 Discriminator Loss: 0.6239... Generator Loss: 2.7713
Epoch 1/1... Step 2750 Discriminator Loss: 1.3492... Generator Loss: 2.5163
Epoch 1/1... Step 2760 Discriminator Loss: 1.0211... Generator Loss: 0.8436
Epoch 1/1... Step 2770 Discriminator Loss: 0.6835... Generator Loss: 1.5023
Epoch 1/1... Step 2780 Discriminator Loss: 0.8758... Generator Loss: 3.3283
Epoch 1/1... Step 2790 Discriminator Loss: 0.6815... Generator Loss: 1.5691
Epoch 1/1... Step 2800 Discriminator Loss: 0.9754... Generator Loss: 0.9617
Epoch 1/1... Step 2810 Discriminator Loss: 1.1271... Generator Loss: 0.9302
Epoch 1/1... Step 2820 Discriminator Loss: 1.3728... Generator Loss: 0.5450
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Epoch 1/1... Step 2890 Discriminator Loss: 0.6027... Generator Loss: 1.7686
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Epoch 1/1... Step 2920 Discriminator Loss: 1.1523... Generator Loss: 0.6770
Epoch 1/1... Step 2930 Discriminator Loss: 0.3924... Generator Loss: 4.0865
Epoch 1/1... Step 2940 Discriminator Loss: 1.3298... Generator Loss: 1.1214
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Epoch 1/1... Step 2970 Discriminator Loss: 0.5018... Generator Loss: 2.3204
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Epoch 1/1... Step 2990 Discriminator Loss: 0.3710... Generator Loss: 3.4233
Epoch 1/1... Step 3000 Discriminator Loss: 1.3087... Generator Loss: 0.6293
Epoch 1/1... Step 3010 Discriminator Loss: 0.9021... Generator Loss: 1.0231
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Epoch 1/1... Step 3030 Discriminator Loss: 0.5550... Generator Loss: 2.0906
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Epoch 1/1... Step 3060 Discriminator Loss: 0.4666... Generator Loss: 6.0208
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Epoch 1/1... Step 3100 Discriminator Loss: 1.9150... Generator Loss: 0.2954
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Epoch 1/1... Step 3120 Discriminator Loss: 1.1488... Generator Loss: 0.7013
Epoch 1/1... Step 3130 Discriminator Loss: 0.4588... Generator Loss: 3.1541
Epoch 1/1... Step 3140 Discriminator Loss: 0.3550... Generator Loss: 4.8666
Epoch 1/1... Step 3150 Discriminator Loss: 0.3738... Generator Loss: 3.6531
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Epoch 1/1... Step 3190 Discriminator Loss: 0.8575... Generator Loss: 1.1321
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Epoch 1/1... Step 3210 Discriminator Loss: 2.3995... Generator Loss: 0.2029
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Epoch 1/1... Step 3240 Discriminator Loss: 0.5097... Generator Loss: 2.3164
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Epoch 1/1... Step 3260 Discriminator Loss: 0.4269... Generator Loss: 3.5449
Epoch 1/1... Step 3270 Discriminator Loss: 0.3865... Generator Loss: 3.5778
Epoch 1/1... Step 3280 Discriminator Loss: 0.7362... Generator Loss: 1.7614
Epoch 1/1... Step 3290 Discriminator Loss: 1.0809... Generator Loss: 1.0879
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Epoch 1/1... Step 3310 Discriminator Loss: 0.8166... Generator Loss: 1.2122
Epoch 1/1... Step 3320 Discriminator Loss: 1.1322... Generator Loss: 0.8088
Epoch 1/1... Step 3330 Discriminator Loss: 0.6679... Generator Loss: 1.9744
Epoch 1/1... Step 3340 Discriminator Loss: 0.5627... Generator Loss: 2.0080
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Epoch 1/1... Step 3370 Discriminator Loss: 0.6863... Generator Loss: 1.5012
Epoch 1/1... Step 3380 Discriminator Loss: 1.1239... Generator Loss: 4.1052
Epoch 1/1... Step 3390 Discriminator Loss: 0.5166... Generator Loss: 2.0972
Epoch 1/1... Step 3400 Discriminator Loss: 0.4411... Generator Loss: 2.7287
Epoch 1/1... Step 3410 Discriminator Loss: 1.0777... Generator Loss: 4.0222
Epoch 1/1... Step 3420 Discriminator Loss: 0.7064... Generator Loss: 1.7639
Epoch 1/1... Step 3430 Discriminator Loss: 0.7502... Generator Loss: 1.9902
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Epoch 1/1... Step 3450 Discriminator Loss: 1.2798... Generator Loss: 0.7015
Epoch 1/1... Step 3460 Discriminator Loss: 1.1060... Generator Loss: 3.6642
Epoch 1/1... Step 3470 Discriminator Loss: 0.7279... Generator Loss: 1.5437
Epoch 1/1... Step 3480 Discriminator Loss: 0.7417... Generator Loss: 1.6051
Epoch 1/1... Step 3490 Discriminator Loss: 0.5609... Generator Loss: 1.7981
Epoch 1/1... Step 3500 Discriminator Loss: 1.5377... Generator Loss: 0.4241
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Epoch 1/1... Step 3520 Discriminator Loss: 0.7986... Generator Loss: 2.5802
Epoch 1/1... Step 3530 Discriminator Loss: 1.2224... Generator Loss: 0.6594
Epoch 1/1... Step 3540 Discriminator Loss: 0.6814... Generator Loss: 1.4151
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Epoch 1/1... Step 3570 Discriminator Loss: 0.5197... Generator Loss: 6.0169
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Epoch 1/1... Step 3590 Discriminator Loss: 0.9173... Generator Loss: 1.3663
Epoch 1/1... Step 3600 Discriminator Loss: 0.8821... Generator Loss: 2.6622
Epoch 1/1... Step 3610 Discriminator Loss: 0.6754... Generator Loss: 1.4462
Epoch 1/1... Step 3620 Discriminator Loss: 0.7899... Generator Loss: 1.4508
Epoch 1/1... Step 3630 Discriminator Loss: 0.7789... Generator Loss: 1.2483
Epoch 1/1... Step 3640 Discriminator Loss: 0.8919... Generator Loss: 0.9393
Epoch 1/1... Step 3650 Discriminator Loss: 1.4605... Generator Loss: 0.4974
Epoch 1/1... Step 3660 Discriminator Loss: 0.7465... Generator Loss: 1.2514
Epoch 1/1... Step 3670 Discriminator Loss: 0.5317... Generator Loss: 2.1011
Epoch 1/1... Step 3680 Discriminator Loss: 0.5435... Generator Loss: 2.6313
Epoch 1/1... Step 3690 Discriminator Loss: 2.2193... Generator Loss: 4.3545
Epoch 1/1... Step 3700 Discriminator Loss: 1.1721... Generator Loss: 0.8642
Epoch 1/1... Step 3710 Discriminator Loss: 0.4939... Generator Loss: 2.4050
Epoch 1/1... Step 3720 Discriminator Loss: 0.6345... Generator Loss: 1.6102
Epoch 1/1... Step 3730 Discriminator Loss: 0.6226... Generator Loss: 1.7663
Epoch 1/1... Step 3740 Discriminator Loss: 1.3271... Generator Loss: 3.3551
Epoch 1/1... Step 3750 Discriminator Loss: 0.7032... Generator Loss: 1.8151
Epoch 1/1... Step 3760 Discriminator Loss: 0.6236... Generator Loss: 2.0379
Epoch 1/1... Step 3770 Discriminator Loss: 0.9945... Generator Loss: 0.9706
Epoch 1/1... Step 3780 Discriminator Loss: 0.3910... Generator Loss: 3.6032
Epoch 1/1... Step 3790 Discriminator Loss: 0.5968... Generator Loss: 4.6801
Epoch 1/1... Step 3800 Discriminator Loss: 0.6410... Generator Loss: 3.0432
Epoch 1/1... Step 3810 Discriminator Loss: 1.2433... Generator Loss: 0.7870
Epoch 1/1... Step 3820 Discriminator Loss: 1.3694... Generator Loss: 0.5180
Epoch 1/1... Step 3830 Discriminator Loss: 0.4749... Generator Loss: 3.4961
Epoch 1/1... Step 3840 Discriminator Loss: 0.9287... Generator Loss: 0.9832
Epoch 1/1... Step 3850 Discriminator Loss: 1.0091... Generator Loss: 4.8664
Epoch 1/1... Step 3860 Discriminator Loss: 0.6032... Generator Loss: 1.5617
Epoch 1/1... Step 3870 Discriminator Loss: 0.7634... Generator Loss: 1.3272
Epoch 1/1... Step 3880 Discriminator Loss: 0.7310... Generator Loss: 1.3572
Epoch 1/1... Step 3890 Discriminator Loss: 0.4297... Generator Loss: 2.9726
Epoch 1/1... Step 3900 Discriminator Loss: 2.7951... Generator Loss: 3.5628
Epoch 1/1... Step 3910 Discriminator Loss: 0.6228... Generator Loss: 1.8541
Epoch 1/1... Step 3920 Discriminator Loss: 0.6165... Generator Loss: 1.5977
Epoch 1/1... Step 3930 Discriminator Loss: 0.5602... Generator Loss: 2.0764
Epoch 1/1... Step 3940 Discriminator Loss: 0.4731... Generator Loss: 3.4347
Epoch 1/1... Step 3950 Discriminator Loss: 0.6437... Generator Loss: 1.8007
Epoch 1/1... Step 3960 Discriminator Loss: 0.6252... Generator Loss: 1.6091
Epoch 1/1... Step 3970 Discriminator Loss: 0.4355... Generator Loss: 3.1439
Epoch 1/1... Step 3980 Discriminator Loss: 0.3565... Generator Loss: 4.8133
Epoch 1/1... Step 3990 Discriminator Loss: 0.5987... Generator Loss: 3.0397
Epoch 1/1... Step 4000 Discriminator Loss: 0.3532... Generator Loss: 5.0731
Epoch 1/1... Step 4010 Discriminator Loss: 0.9100... Generator Loss: 1.0081
Epoch 1/1... Step 4020 Discriminator Loss: 1.4712... Generator Loss: 0.5401
Epoch 1/1... Step 4030 Discriminator Loss: 0.8210... Generator Loss: 1.4091
Epoch 1/1... Step 4040 Discriminator Loss: 0.7696... Generator Loss: 1.3708
Epoch 1/1... Step 4050 Discriminator Loss: 0.7092... Generator Loss: 1.3790
Epoch 1/1... Step 4060 Discriminator Loss: 0.4194... Generator Loss: 3.9585
Epoch 1/1... Step 4070 Discriminator Loss: 0.7604... Generator Loss: 2.2598
Epoch 1/1... Step 4080 Discriminator Loss: 0.6459... Generator Loss: 1.6727
Epoch 1/1... Step 4090 Discriminator Loss: 1.0576... Generator Loss: 0.7895
Epoch 1/1... Step 4100 Discriminator Loss: 0.6651... Generator Loss: 1.5856
Epoch 1/1... Step 4110 Discriminator Loss: 1.1950... Generator Loss: 0.8187
Epoch 1/1... Step 4120 Discriminator Loss: 0.4560... Generator Loss: 2.5855
Epoch 1/1... Step 4130 Discriminator Loss: 0.8115... Generator Loss: 1.6262
Epoch 1/1... Step 4140 Discriminator Loss: 1.0280... Generator Loss: 0.9454
Epoch 1/1... Step 4150 Discriminator Loss: 1.7346... Generator Loss: 0.4514
Epoch 1/1... Step 4160 Discriminator Loss: 0.8681... Generator Loss: 1.2127
Epoch 1/1... Step 4170 Discriminator Loss: 0.7659... Generator Loss: 2.4239
Epoch 1/1... Step 4180 Discriminator Loss: 0.3984... Generator Loss: 3.4454
Epoch 1/1... Step 4190 Discriminator Loss: 0.3994... Generator Loss: 3.8301
Epoch 1/1... Step 4200 Discriminator Loss: 0.4435... Generator Loss: 2.9055
Epoch 1/1... Step 4210 Discriminator Loss: 0.6972... Generator Loss: 2.4960
Epoch 1/1... Step 4220 Discriminator Loss: 0.8501... Generator Loss: 1.4810
Epoch 1/1... Step 4230 Discriminator Loss: 0.5173... Generator Loss: 2.5740
Epoch 1/1... Step 4240 Discriminator Loss: 1.0166... Generator Loss: 2.3194
Epoch 1/1... Step 4250 Discriminator Loss: 0.7677... Generator Loss: 1.3254
Epoch 1/1... Step 4260 Discriminator Loss: 0.9838... Generator Loss: 0.9766
Epoch 1/1... Step 4270 Discriminator Loss: 1.3310... Generator Loss: 3.3570
Epoch 1/1... Step 4280 Discriminator Loss: 0.6712... Generator Loss: 1.5915
Epoch 1/1... Step 4290 Discriminator Loss: 0.9388... Generator Loss: 0.9878
Epoch 1/1... Step 4300 Discriminator Loss: 0.4710... Generator Loss: 2.2839
Epoch 1/1... Step 4310 Discriminator Loss: 0.5994... Generator Loss: 3.8536
Epoch 1/1... Step 4320 Discriminator Loss: 0.9479... Generator Loss: 1.0564
Epoch 1/1... Step 4330 Discriminator Loss: 0.6301... Generator Loss: 1.6585
Epoch 1/1... Step 4340 Discriminator Loss: 1.1089... Generator Loss: 0.8529
Epoch 1/1... Step 4350 Discriminator Loss: 0.7353... Generator Loss: 1.4905
Epoch 1/1... Step 4360 Discriminator Loss: 0.4497... Generator Loss: 3.0544
Epoch 1/1... Step 4370 Discriminator Loss: 0.4175... Generator Loss: 3.0856
Epoch 1/1... Step 4380 Discriminator Loss: 0.5062... Generator Loss: 1.9603
Epoch 1/1... Step 4390 Discriminator Loss: 1.2363... Generator Loss: 0.6041
Epoch 1/1... Step 4400 Discriminator Loss: 0.6894... Generator Loss: 2.8446
Epoch 1/1... Step 4410 Discriminator Loss: 0.7242... Generator Loss: 1.2615
Epoch 1/1... Step 4420 Discriminator Loss: 0.7723... Generator Loss: 1.2613
Epoch 1/1... Step 4430 Discriminator Loss: 0.9033... Generator Loss: 1.1456
Epoch 1/1... Step 4440 Discriminator Loss: 0.4732... Generator Loss: 2.6304
Epoch 1/1... Step 4450 Discriminator Loss: 0.9932... Generator Loss: 3.6960
Epoch 1/1... Step 4460 Discriminator Loss: 1.4319... Generator Loss: 0.5567
Epoch 1/1... Step 4470 Discriminator Loss: 0.5559... Generator Loss: 1.9262
Epoch 1/1... Step 4480 Discriminator Loss: 0.9719... Generator Loss: 0.9247
Epoch 1/1... Step 4490 Discriminator Loss: 0.5301... Generator Loss: 2.7161
Epoch 1/1... Step 4500 Discriminator Loss: 2.0295... Generator Loss: 0.3193
Epoch 1/1... Step 4510 Discriminator Loss: 0.7887... Generator Loss: 1.5061
Epoch 1/1... Step 4520 Discriminator Loss: 1.1330... Generator Loss: 0.7003
Epoch 1/1... Step 4530 Discriminator Loss: 0.5667... Generator Loss: 1.7846
Epoch 1/1... Step 4540 Discriminator Loss: 1.0912... Generator Loss: 0.9424
Epoch 1/1... Step 4550 Discriminator Loss: 0.7303... Generator Loss: 2.0282
Epoch 1/1... Step 4560 Discriminator Loss: 0.5536... Generator Loss: 1.8504
Epoch 1/1... Step 4570 Discriminator Loss: 1.1470... Generator Loss: 3.5512
Epoch 1/1... Step 4580 Discriminator Loss: 0.7089... Generator Loss: 1.4992
Epoch 1/1... Step 4590 Discriminator Loss: 0.5726... Generator Loss: 2.4958
Epoch 1/1... Step 4600 Discriminator Loss: 0.7386... Generator Loss: 4.1019
Epoch 1/1... Step 4610 Discriminator Loss: 0.5932... Generator Loss: 3.1109
Epoch 1/1... Step 4620 Discriminator Loss: 0.4813... Generator Loss: 3.0100
Epoch 1/1... Step 4630 Discriminator Loss: 0.6243... Generator Loss: 2.6472
Epoch 1/1... Step 4640 Discriminator Loss: 1.1252... Generator Loss: 2.6432
Epoch 1/1... Step 4650 Discriminator Loss: 0.7667... Generator Loss: 1.2835
Epoch 1/1... Step 4660 Discriminator Loss: 0.6219... Generator Loss: 1.6433
Epoch 1/1... Step 4670 Discriminator Loss: 0.4235... Generator Loss: 3.4040
Epoch 1/1... Step 4680 Discriminator Loss: 0.5041... Generator Loss: 2.4907
Epoch 1/1... Step 4690 Discriminator Loss: 1.0916... Generator Loss: 3.8857
Epoch 1/1... Step 4700 Discriminator Loss: 0.9444... Generator Loss: 2.5135
Epoch 1/1... Step 4710 Discriminator Loss: 0.8089... Generator Loss: 1.1133
Epoch 1/1... Step 4720 Discriminator Loss: 0.5297... Generator Loss: 2.3047
Epoch 1/1... Step 4730 Discriminator Loss: 1.0735... Generator Loss: 0.9773
Epoch 1/1... Step 4740 Discriminator Loss: 0.5499... Generator Loss: 1.9280
Epoch 1/1... Step 4750 Discriminator Loss: 1.1508... Generator Loss: 1.3149
Epoch 1/1... Step 4760 Discriminator Loss: 0.6745... Generator Loss: 2.0615
Epoch 1/1... Step 4770 Discriminator Loss: 0.5760... Generator Loss: 2.2796
Epoch 1/1... Step 4780 Discriminator Loss: 0.4990... Generator Loss: 2.6268
Epoch 1/1... Step 4790 Discriminator Loss: 0.3784... Generator Loss: 6.2453
Epoch 1/1... Step 4800 Discriminator Loss: 1.2929... Generator Loss: 0.5571
Epoch 1/1... Step 4810 Discriminator Loss: 0.5846... Generator Loss: 1.7350
Epoch 1/1... Step 4820 Discriminator Loss: 0.8968... Generator Loss: 1.4967
Epoch 1/1... Step 4830 Discriminator Loss: 0.8341... Generator Loss: 1.1694
Epoch 1/1... Step 4840 Discriminator Loss: 2.3086... Generator Loss: 0.1881
Epoch 1/1... Step 4850 Discriminator Loss: 1.0889... Generator Loss: 0.7976
Epoch 1/1... Step 4860 Discriminator Loss: 0.5883... Generator Loss: 1.9399
Epoch 1/1... Step 4870 Discriminator Loss: 1.4567... Generator Loss: 0.4888
Epoch 1/1... Step 4880 Discriminator Loss: 0.6783... Generator Loss: 2.1500
Epoch 1/1... Step 4890 Discriminator Loss: 0.5403... Generator Loss: 1.9814
Epoch 1/1... Step 4900 Discriminator Loss: 1.3621... Generator Loss: 0.7686
Epoch 1/1... Step 4910 Discriminator Loss: 1.4255... Generator Loss: 0.5132
Epoch 1/1... Step 4920 Discriminator Loss: 0.7280... Generator Loss: 1.3570
Epoch 1/1... Step 4930 Discriminator Loss: 0.9633... Generator Loss: 0.9918
Epoch 1/1... Step 4940 Discriminator Loss: 0.4468... Generator Loss: 3.3405
Epoch 1/1... Step 4950 Discriminator Loss: 0.6506... Generator Loss: 1.8109
Epoch 1/1... Step 4960 Discriminator Loss: 0.4846... Generator Loss: 2.9556
Epoch 1/1... Step 4970 Discriminator Loss: 0.7096... Generator Loss: 3.0729
Epoch 1/1... Step 4980 Discriminator Loss: 0.3969... Generator Loss: 3.5807
Epoch 1/1... Step 4990 Discriminator Loss: 0.8131... Generator Loss: 1.3694
Epoch 1/1... Step 5000 Discriminator Loss: 0.5273... Generator Loss: 2.1683
Epoch 1/1... Step 5010 Discriminator Loss: 0.6624... Generator Loss: 1.6861
Epoch 1/1... Step 5020 Discriminator Loss: 0.5530... Generator Loss: 1.9768
Epoch 1/1... Step 5030 Discriminator Loss: 0.7536... Generator Loss: 2.3998
Epoch 1/1... Step 5040 Discriminator Loss: 0.8298... Generator Loss: 1.5095
Epoch 1/1... Step 5050 Discriminator Loss: 0.6635... Generator Loss: 1.6283
Epoch 1/1... Step 5060 Discriminator Loss: 0.5592... Generator Loss: 3.2476
Epoch 1/1... Step 5070 Discriminator Loss: 0.6270... Generator Loss: 1.7682
Epoch 1/1... Step 5080 Discriminator Loss: 0.4625... Generator Loss: 2.4981
Epoch 1/1... Step 5090 Discriminator Loss: 0.4625... Generator Loss: 2.5334
Epoch 1/1... Step 5100 Discriminator Loss: 0.6444... Generator Loss: 2.3886
Epoch 1/1... Step 5110 Discriminator Loss: 0.6375... Generator Loss: 1.7938
Epoch 1/1... Step 5120 Discriminator Loss: 1.8877... Generator Loss: 2.8057
Epoch 1/1... Step 5130 Discriminator Loss: 0.5637... Generator Loss: 1.9561
Epoch 1/1... Step 5140 Discriminator Loss: 0.7930... Generator Loss: 1.2062
Epoch 1/1... Step 5150 Discriminator Loss: 1.1734... Generator Loss: 0.9017
Epoch 1/1... Step 5160 Discriminator Loss: 0.7544... Generator Loss: 1.4412
Epoch 1/1... Step 5170 Discriminator Loss: 0.5884... Generator Loss: 2.0143
Epoch 1/1... Step 5180 Discriminator Loss: 0.8064... Generator Loss: 2.5699
Epoch 1/1... Step 5190 Discriminator Loss: 0.7922... Generator Loss: 3.3172
Epoch 1/1... Step 5200 Discriminator Loss: 0.5552... Generator Loss: 2.2104
Epoch 1/1... Step 5210 Discriminator Loss: 0.8077... Generator Loss: 1.5173
Epoch 1/1... Step 5220 Discriminator Loss: 0.8599... Generator Loss: 1.0152
Epoch 1/1... Step 5230 Discriminator Loss: 0.5072... Generator Loss: 2.6222
Epoch 1/1... Step 5240 Discriminator Loss: 1.0615... Generator Loss: 1.7168
Epoch 1/1... Step 5250 Discriminator Loss: 0.4337... Generator Loss: 2.8586
Epoch 1/1... Step 5260 Discriminator Loss: 0.7766... Generator Loss: 1.7918
Epoch 1/1... Step 5270 Discriminator Loss: 0.7559... Generator Loss: 1.4733
Epoch 1/1... Step 5280 Discriminator Loss: 1.3751... Generator Loss: 0.5752
Epoch 1/1... Step 5290 Discriminator Loss: 0.4655... Generator Loss: 2.5558
Epoch 1/1... Step 5300 Discriminator Loss: 0.5251... Generator Loss: 2.0935
Epoch 1/1... Step 5310 Discriminator Loss: 0.6534... Generator Loss: 1.8320
Epoch 1/1... Step 5320 Discriminator Loss: 0.9458... Generator Loss: 3.2616
Epoch 1/1... Step 5330 Discriminator Loss: 0.7116... Generator Loss: 1.4695
Epoch 1/1... Step 5340 Discriminator Loss: 1.6989... Generator Loss: 0.4736
Epoch 1/1... Step 5350 Discriminator Loss: 0.4285... Generator Loss: 3.0566
Epoch 1/1... Step 5360 Discriminator Loss: 0.7229... Generator Loss: 3.1951
Epoch 1/1... Step 5370 Discriminator Loss: 0.9074... Generator Loss: 1.0155
Epoch 1/1... Step 5380 Discriminator Loss: 0.6870... Generator Loss: 1.5569
Epoch 1/1... Step 5390 Discriminator Loss: 0.5782... Generator Loss: 1.7903
Epoch 1/1... Step 5400 Discriminator Loss: 0.5427... Generator Loss: 2.1132
Epoch 1/1... Step 5410 Discriminator Loss: 0.3796... Generator Loss: 4.0959
Epoch 1/1... Step 5420 Discriminator Loss: 0.7200... Generator Loss: 1.6006
Epoch 1/1... Step 5430 Discriminator Loss: 0.4832... Generator Loss: 2.5345
Epoch 1/1... Step 5440 Discriminator Loss: 0.5334... Generator Loss: 3.3504
Epoch 1/1... Step 5450 Discriminator Loss: 2.0208... Generator Loss: 4.5205
Epoch 1/1... Step 5460 Discriminator Loss: 0.3891... Generator Loss: 3.4222
Epoch 1/1... Step 5470 Discriminator Loss: 1.3122... Generator Loss: 3.1413
Epoch 1/1... Step 5480 Discriminator Loss: 0.5697... Generator Loss: 1.9121
Epoch 1/1... Step 5490 Discriminator Loss: 0.3896... Generator Loss: 4.2835
Epoch 1/1... Step 5500 Discriminator Loss: 0.5602... Generator Loss: 2.5584
Epoch 1/1... Step 5510 Discriminator Loss: 0.3646... Generator Loss: 4.1500
Epoch 1/1... Step 5520 Discriminator Loss: 0.5738... Generator Loss: 2.0785
Epoch 1/1... Step 5530 Discriminator Loss: 0.6493... Generator Loss: 1.4857
Epoch 1/1... Step 5540 Discriminator Loss: 0.7053... Generator Loss: 4.5516
Epoch 1/1... Step 5550 Discriminator Loss: 0.5478... Generator Loss: 3.3300
Epoch 1/1... Step 5560 Discriminator Loss: 0.8004... Generator Loss: 2.0431
Epoch 1/1... Step 5570 Discriminator Loss: 0.4778... Generator Loss: 2.6558
Epoch 1/1... Step 5580 Discriminator Loss: 0.5476... Generator Loss: 3.0312
Epoch 1/1... Step 5590 Discriminator Loss: 0.6218... Generator Loss: 1.8619
Epoch 1/1... Step 5600 Discriminator Loss: 0.9158... Generator Loss: 0.9913
Epoch 1/1... Step 5610 Discriminator Loss: 0.7989... Generator Loss: 2.6795
Epoch 1/1... Step 5620 Discriminator Loss: 1.0590... Generator Loss: 0.9822
Epoch 1/1... Step 5630 Discriminator Loss: 0.6776... Generator Loss: 1.7731
Epoch 1/1... Step 5640 Discriminator Loss: 0.6038... Generator Loss: 2.2201
Epoch 1/1... Step 5650 Discriminator Loss: 1.0050... Generator Loss: 0.9397
Epoch 1/1... Step 5660 Discriminator Loss: 0.7212... Generator Loss: 1.5241
Epoch 1/1... Step 5670 Discriminator Loss: 0.4203... Generator Loss: 3.7849
Epoch 1/1... Step 5680 Discriminator Loss: 1.1129... Generator Loss: 1.0599
Epoch 1/1... Step 5690 Discriminator Loss: 1.2375... Generator Loss: 0.8086
Epoch 1/1... Step 5700 Discriminator Loss: 0.6001... Generator Loss: 3.5536
Epoch 1/1... Step 5710 Discriminator Loss: 0.8120... Generator Loss: 1.2904
Epoch 1/1... Step 5720 Discriminator Loss: 1.3216... Generator Loss: 0.6703
Epoch 1/1... Step 5730 Discriminator Loss: 0.9069... Generator Loss: 1.1271
Epoch 1/1... Step 5740 Discriminator Loss: 0.5805... Generator Loss: 1.6582
Epoch 1/1... Step 5750 Discriminator Loss: 1.6532... Generator Loss: 4.0038
Epoch 1/1... Step 5760 Discriminator Loss: 1.1096... Generator Loss: 0.8320
Epoch 1/1... Step 5770 Discriminator Loss: 0.5939... Generator Loss: 1.9313
Epoch 1/1... Step 5780 Discriminator Loss: 0.6167... Generator Loss: 1.7658
Epoch 1/1... Step 5790 Discriminator Loss: 0.8293... Generator Loss: 2.6905
Epoch 1/1... Step 5800 Discriminator Loss: 0.7754... Generator Loss: 1.4316
Epoch 1/1... Step 5810 Discriminator Loss: 0.5984... Generator Loss: 2.8048
Epoch 1/1... Step 5820 Discriminator Loss: 0.5050... Generator Loss: 3.6199
Epoch 1/1... Step 5830 Discriminator Loss: 0.7074... Generator Loss: 1.4486
Epoch 1/1... Step 5840 Discriminator Loss: 0.6554... Generator Loss: 2.2047
Epoch 1/1... Step 5850 Discriminator Loss: 0.7282... Generator Loss: 3.4616
Epoch 1/1... Step 5860 Discriminator Loss: 0.7272... Generator Loss: 1.5049
Epoch 1/1... Step 5870 Discriminator Loss: 0.6028... Generator Loss: 1.9680
Epoch 1/1... Step 5880 Discriminator Loss: 0.3933... Generator Loss: 3.5063
Epoch 1/1... Step 5890 Discriminator Loss: 1.4481... Generator Loss: 0.6140
Epoch 1/1... Step 5900 Discriminator Loss: 0.4420... Generator Loss: 3.4304
Epoch 1/1... Step 5910 Discriminator Loss: 0.5019... Generator Loss: 2.6899
Epoch 1/1... Step 5920 Discriminator Loss: 0.3612... Generator Loss: 4.7245
Epoch 1/1... Step 5930 Discriminator Loss: 0.3644... Generator Loss: 4.3129
Epoch 1/1... Step 5940 Discriminator Loss: 0.5563... Generator Loss: 6.4075
Epoch 1/1... Step 5950 Discriminator Loss: 0.5404... Generator Loss: 2.3917
Epoch 1/1... Step 5960 Discriminator Loss: 2.1126... Generator Loss: 0.3671
Epoch 1/1... Step 5970 Discriminator Loss: 0.7734... Generator Loss: 1.4177
Epoch 1/1... Step 5980 Discriminator Loss: 0.4027... Generator Loss: 3.4013
Epoch 1/1... Step 5990 Discriminator Loss: 1.0737... Generator Loss: 0.7832
Epoch 1/1... Step 6000 Discriminator Loss: 0.4484... Generator Loss: 3.8435
Epoch 1/1... Step 6010 Discriminator Loss: 0.6234... Generator Loss: 1.9327
Epoch 1/1... Step 6020 Discriminator Loss: 0.6033... Generator Loss: 2.2225
Epoch 1/1... Step 6030 Discriminator Loss: 0.5819... Generator Loss: 1.8870
Epoch 1/1... Step 6040 Discriminator Loss: 1.1355... Generator Loss: 1.0153
Epoch 1/1... Step 6050 Discriminator Loss: 0.6258... Generator Loss: 1.7167
Epoch 1/1... Step 6060 Discriminator Loss: 0.5056... Generator Loss: 2.1207
Epoch 1/1... Step 6070 Discriminator Loss: 1.0108... Generator Loss: 0.9465
Epoch 1/1... Step 6080 Discriminator Loss: 0.7064... Generator Loss: 1.9391
Epoch 1/1... Step 6090 Discriminator Loss: 0.4672... Generator Loss: 4.4804
Epoch 1/1... Step 6100 Discriminator Loss: 0.8273... Generator Loss: 1.2262
Epoch 1/1... Step 6110 Discriminator Loss: 0.5878... Generator Loss: 2.3617
Epoch 1/1... Step 6120 Discriminator Loss: 1.6312... Generator Loss: 0.4357
Epoch 1/1... Step 6130 Discriminator Loss: 0.4498... Generator Loss: 3.3421
Epoch 1/1... Step 6140 Discriminator Loss: 1.2687... Generator Loss: 2.6502
Epoch 1/1... Step 6150 Discriminator Loss: 0.6778... Generator Loss: 1.9039
Epoch 1/1... Step 6160 Discriminator Loss: 0.5467... Generator Loss: 2.4490
Epoch 1/1... Step 6170 Discriminator Loss: 0.5623... Generator Loss: 2.0547
Epoch 1/1... Step 6180 Discriminator Loss: 1.8691... Generator Loss: 0.3699
Epoch 1/1... Step 6190 Discriminator Loss: 0.5145... Generator Loss: 2.5732
Epoch 1/1... Step 6200 Discriminator Loss: 0.4135... Generator Loss: 3.0517
Epoch 1/1... Step 6210 Discriminator Loss: 1.0465... Generator Loss: 0.8495
Epoch 1/1... Step 6220 Discriminator Loss: 1.2442... Generator Loss: 1.5722
Epoch 1/1... Step 6230 Discriminator Loss: 0.5441... Generator Loss: 2.2080
Epoch 1/1... Step 6240 Discriminator Loss: 0.5351... Generator Loss: 2.4849
Epoch 1/1... Step 6250 Discriminator Loss: 0.7044... Generator Loss: 3.6812
Epoch 1/1... Step 6260 Discriminator Loss: 0.4081... Generator Loss: 3.9318
Epoch 1/1... Step 6270 Discriminator Loss: 0.7707... Generator Loss: 1.5082
Epoch 1/1... Step 6280 Discriminator Loss: 0.9027... Generator Loss: 4.3836
Epoch 1/1... Step 6290 Discriminator Loss: 0.5756... Generator Loss: 2.0188
Epoch 1/1... Step 6300 Discriminator Loss: 0.4644... Generator Loss: 4.2831
Epoch 1/1... Step 6310 Discriminator Loss: 0.5133... Generator Loss: 4.3217
Epoch 1/1... Step 6320 Discriminator Loss: 0.6770... Generator Loss: 3.9338
Epoch 1/1... Step 6330 Discriminator Loss: 0.4724... Generator Loss: 3.8178

Submitting This Project

When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_face_generation.ipynb" and save it as a HTML file under "File" -> "Download as". Include the "helper.py" and "problem_unittests.py" files in your submission.

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